If there’s one attribute @MartynEtherington is counting on to realise his ambitious brand transformation plans at @Teradata, it’s bravery. “As a CMO, you cannot have fear, you have to be fearless. You can’t blink otherwise the team senses that, other functions will sense that, and you’re dead in the water,” the recently appointed chief marketing officer tells CMO. “You have to have conviction you’re going to do this. I’ve done this a couple of time before, and without arrogance or conceitedness, I believe this is achievable.” Etherington has been in marketing for most of his career, working for technology companies in roles internationally as well as in Europe such as @Deck, @Sequin, @IBM, @Tektronix, @Danaher, @Mitel, @Cisco and now @Teradata. He’s also built “and had near-death professional experiences” working on three startups during the height of the dotcom boom and bust. And that’s not to mention running business divisions regionally and globally and taking up P&L responsibility along the way. In March, Etherington took on his next big turnaround challenge: Transforming market and customer perceptions of Teradata from a data warehouse appliance technology provider 20 years out of date, to a data analytics at scale powerhouse with customers’ interests at its heart.
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Monday, July 23, 2018
Monday, April 9, 2018
Teradata Analytics Platform Makes IoT Edge Computing Smarter with Industry's First '4D Analytics'
Monday, March 26, 2018
Teradata Joins NVIDIA Partner Program Focused on Accelerating Outcomes from AI, Deep Learning in Key Industries
SAN DIEGO, March 26, 2018 /PRNewswire/ -- @Teradata (NYSE: TDC), the leading cloud-based data and analytics company, today announced that its Think Big Analytics consulting group has joined the @NVIDIA Service Delivery Partner program. NVIDIA GPUs are widely used in deep learning, artificial intelligence ( #AI ) and accelerated analytics applications. As a program member, Think Big Analytics will help clients looking to scale their AI initiatives by working with NVIDIA to optimize deep learning for enterprise use and coordinating go-to-market strategies. According to a 2017 survey of 260 large, global organizations conducted by Vanson Bourne on behalf of Teradata, the biggest challenges for implementing AI in enterprise environments are a lack of AI-ready IT infrastructure and a lack of talent. This partnership addresses both issues by bringing together two highly regarded services organizations with broad AI experience and a best-in-class AI computing platform. Think Big Analytics is one of the first large, global consultancies to join NVIDIA's partner network. With its exclusive focus on data and analytics, Teradata will be collaborating with NVIDIA on solutions that drive impactful business outcomes in industries including banking and insurance, automotive, manufacturing, telco, healthcare, retail, media and entertainment, and travel and transportation. Teradata's inclusion in the highly selective program was based on the company's extensive real-world experience implementing deep learning, via its AI Velocity services, much of which already included using NVIDIA GPUs. "We've seen the business value created by applying deep learning algorithms enabled by NVIDIA GPUs," said Atif Kureishy, Vice President of Emerging Practices at Think Big Analytics. "This partnership formalizes our use of NVIDIA-based technologies, giving our talented data scientists and engineers greater access to IP and expertise from NVIDIA, but also creating a positive feedback loop that will drive product innovation at both companies."
Thursday, February 22, 2018
Teradata is Named a Leader in Gartner's 2018 Magic Quadrant for Data Management Solutions for Analytics
SAN DIEGO, Feb. 21, 2018 /PRNewswire/ --@Teradata (NYSE: TDC), the leading data and analytics company, has again been positioned in the @Gartner, Inc. 2018 Magic Quadrant for Data Management Solutions for Analytics1 issued February 13, 2018, by Gartner analysts Adam M. Ronthal, Roxane Edjlali, and Rick Greenwald. Vendors are evaluated by Gartner on completeness of vision and ability to execute following detailed research. As one of 22 vendors evaluated in the 2018 report, Teradata was recognized as a Leader for the 16th consecutive time. Gartner's report describes the state of the market: "Although the traditional data warehousing use case remains foundational to most organizations' analytics initiatives, there is also interest in the ability to manage and process increasingly diverse formats for both internal and external data." The report also states: "A complete DMSA must therefore be able to accommodate a diverse range of data types. These may include interaction and observational data — from Internet of Things (IoT) sensors, for example — as well as nonrelational data, such as text, image, audio and video data." " @Teradata 's continued leadership in this industry validates our strategy to offer customers unprecedented analytics at scale, #datamanagement, license flexibility and deployment choices," said @OliverRatzesberger, Chief Operating Officer, Teradata. "I am delighted to see that our public cloud partners, @Microsoft and @Amazon Web Services, also appear in the leaders' quadrant, confirming that Teradata customers, regardless of where they deploy our software, are receiving the very best products and services available." To ensure customers can make the most of their data and analytic assets, Teradata introduced Teradata Everywhere, a flexible, agile and scalable way to ensure high return on analytic investments, while limiting the risk in making those investments. Teradata Everywhere makes analytics available where and when they are needed – in the cloud, on-premises or both – coupled with license tiers that provide flexibility in how the Teradata Analytics Platform is purchased and deployed. For this Magic Quadrant, Gartner defines a data management solution for analytics as "a complete software system that supports and manages data in one or more file management systems (usually databases). DMSAs include specific optimizations to support analytical processing. This includes, but is not limited to, support for relational processing, nonrelational processing (such as graph processing), and machine learning and programming languages such as Python and R. Data is not necessarily stored in a relational structure, and multiple models can be used — for example, relational, XML, JSON, key-value, text, graph and geospatial."
Tuesday, February 13, 2018
Teradata: A Misinterpretation Of A Robust Quarter
@Teradata reported the results of its full-year and Q4 results last week. The company continued to over-attain prior consensus expectations. Some analysts were unhappy because the company sold too much in the way of product and perpetual license. Some analysts were unhappy with the projection of Q1 seasonality. Overall, the company's turnaround is on track and gathering some momentum. TDC - some thoughts about its battle for relevance Last week Teradata (TDC) reported the results of its Q4 operations. Sadly, for the company, the results were reported on a day in which very few eyes were focused on the results of specific enterprises. The software index, the Nasdaq and the S&P, were all busy selling off in dramatic fashion that has lead to numerous headlines regarding the apocalypse or something worse. I think it can be a mistake to read too much into share price performance during the midst of a stock market correction. Investors, for the most part, are looking for reasons to sell and not reasons to buy. In the case of Teradata, what really ought to be viewed as a strong quarter, certainly relative to expectations, mainly served as an excuse to sell the shares aggressively. Part of that related to the syndrome of “buy the rumor, sell the news.” In this case, the shares had been upgraded by both Cowen and Morgan Stanley in the weeks before the earnings release and they had appreciated quite noticeably over the prior three months. All of those gains were wiped away in a couple of days of fevered trading that really had little to do with the company’s actual operational performance. Teradata shares have spent the last couple of years rising from a slough of despair. The shares made a low of about $23 at the start of 2016, in the wake of another of a seemingly endless series of operational miscues. Shortly thereafter, the CEO was replaced, and the company embarked on an operational turnaround. While the turnaround is still very much a work in progress, Q4 did mark the end of headline declines in reported revenues, which at $626 million were significantly above prior consensus expectations of $611 million. The company bettered prior consensus EPS expectations by a significant amount as well, after excluding the specific impacts of the new corporate tax law as regards to repatriation of overseas cash balances.
https://seekingalpha.com/article/4145857-teradata-misinterpretation-robust-quarter
Thursday, December 14, 2017
Teradata Visualizes the Path to Impactful Business Insights
SAN DIEGO, Dec. 12, 2017 /PRNewswire/ -- Whether it's #frauddetection, #preemptivediscovery of #manufacturingmalfunctions, or delivering a more streamlined customer journey, today's leading corporations are using their data as a significant strength and market advantage to achieve their business outcomes. @Teradata (NYSE: TDC), the leading data and analytics company, provides the analytic solutions and the industry expertise that can address such critical business problems, stay competitive and grow. The Sword Burning Leaf Safety Cloud Corona of Calls Deep Sea Monster Hollywood Nights Experience the interactive Multichannel News Release here: https://www.multivu.com/players/English/8075952-teradata-the-art-of-analytics/ As companies accept that analytics are key to business success, the audience and appetite for such needle-moving insights has dramatically expanded beyond advanced analytics professionals to marketers, business analysts, C-suite and other leadership teams. One of the more creative ways Teradata is facilitating conversation between these disparate groups within the same organization is through art-worthy visualizations that creatively depict insights through the application of multi-genre advanced analytic techniques. Teradata's Art of Analytics effort, a program that any Teradata customer can become involved with, transforms analytic findings into enlightening and appealing visuals that showcase causal relationships within the data, making it easier for any interested party to identify patterns that point to actionable solutions to real-world business problems. Below are examples of compelling Art of Analytics projects that showcase insights that have truly had an impact on the business. The names of each organization have been masked to ensure privacy. The Sword (video): A sword, with its tapering shape and sharpness, can precisely describe gamers' interactions with other players in their network. This sword depicts the strength and rage of interactions between participants in an online game. Online pagers compete against others with the spirit of accumulating massive points in games of one-upmanship. Each of these game networks, regardless of its genre, is filled with passionate participants who seek each other out repeatedly to engage in ever-increasing levels of difficulty and gamely sparring. Corona of Calls: What would you see in a giant corona, or a large circle of light, with colorful leaves of varying lengths sprouting around it? This corona depicts a network of calls made in a geographic area prior to a terrorist incident. Frantic calls are usually made after an incident occurs by people affected by it. However, calls made before the incident are also informative and can contain clues about the perpetrators. These are the patterns of calls that law enforcement and intelligence agencies want to identify, isolate, and use to locate the perpetrators as well as to prevent future incidents from occurring. Burning Leaf (video): Fusing business acumen, data science, and creative visualization, the Burning Leaf of Spending enabled a major bank to detect anomalies in customer spending patterns that indicate major life events, and provided artful insights into the personalized service required to enhance the customer experience, improving lifetime value. Deep Sea Monster: Fraud costs organizations billions of dollars each year. With fraud becoming increasingly sophisticated and taking many forms, companies need new ways to identify and mitigate the threat. 'Deep Sea Monster' looks like a mystical creature, but in reality, it is a visual representation of potentially fraudulent government procurement networks in Russia. Today, government procurement data in Russia is open and can be easily accessed by anyone. The bidding process for procuring good and services is designed to be open and transparent. Safety Cloud (video): What would you do if you could speedily read through reams of papers that contain a wide range of content and exhibit a native facility to distill these contents into distinct topics? Sounds like a worthy skill to have. We are in luck with the polychrome cloud that precisely shows how different topics are neatly clustered into self-contained blobs that can be further explored to understand the nature of what is being spoken of within these clusters. Hollywood Nights: Entertainment companies have placed exclusive focus, especially in an era of intense competitive pressure, on delivering unique customer experiences that are highly personalized to the idiosyncratic and shifting tastes of the viewing public. Gone are the days of two-sizes-fit-all entertainment packages where the onus in on the customer to cherry pick content from a static set of options. When we add to this the diversity of how entertainment is delivered – though set top boxes, streaming platforms, digital applications, theaters – the issue becomes even more complex and urgent to address. Teradata customers are invited to become part of the Art of Analytics Collective, where they can contribute to a diverse portfolio of customer stories that are displayed as highly visual artwork. Teradata data scientists can use their deep business knowledge, creativity and analytic expertise to turn business use cases into works of art, such as those below.
Monday, November 27, 2017
State of Tennessee Treasury Department Acquires Shares of 80,000 Teradata Corporation (TDC)
State of #Tennessee Treasury Department acquired a new stake in #Teradata Corporation (NYSE:TDC) during the third quarter, according to its most recent Form 13F filing with the SEC. The firm acquired 80,000 shares of the technology company’s stock, valued at approximately $2,703,000. State of @Tennessee Treasury Department owned approximately 0.06% of @Teradata as of its most recent filing with the SEC. Several other hedge funds also recently modified their holdings of the stock. Canada Pension Plan Investment Board raised its stake in shares of Teradata by 131.2% in the 3rd quarter. Canada Pension Plan Investment Board now owns 839,067 shares of the technology company’s stock valued at $28,352,000 after acquiring an additional 476,100 shares in the last quarter. Victory Capital Management Inc. bought a new position in shares of Teradata in the 3rd quarter valued at approximately $33,107,000. Crossmark Global Holdings Inc. bought a new position in shares of Teradata in the 3rd quarter valued at approximately $406,000. First Trust Advisors LP raised its stake in shares of Teradata by 21.7% in the 3rd quarter. First Trust Advisors LP now owns 1,937,706 shares of the technology company’s stock valued at $65,475,000 after acquiring an additional 345,746 shares in the last quarter. Finally, APG Asset Management N.V. raised its stake in shares of Teradata by 24.9% in the 3rd quarter. APG Asset Management N.V. now owns 960,400 shares of the technology company’s stock valued at $32,452,000 after acquiring an additional 191,300 shares in the last quarter.
Key Insights on the Global Hadoop Market | Technavio
LONDON--(BUSINESS WIRE)--The latest market research report by Technavio on the global Hadoop market predicts a CAGR of more than 39% during the period 2017-2021. Global #Hadoop market is set to grow at a CAGR of more than 39% during the period 2017-2021. @Technavio Tweet this The report has further categorized the global Hadoop market into different segments by end-user (banking, financial services, and insurance sector, government sector, communications sector, healthcare sector, and others) and by geography (the Americas, EMEA, and APAC). It provides a detailed illustration of the major factors influencing the market, including drivers, opportunities, trends, and industry-specific challenges. Here are some key findings of the global Hadoop market, according to Technavio ICT researchers: Growing structured and unstructured data: a major market driver The BFSI sector was the largest end-user of Hadoop in 2016 In 2016, the Americas dominated the global Hadoop market with a share of more than 55% The major players in the market include #Amazon, #Cloudera, #Hortonworks, #IBM, #MapR Technologies, #Microsoft, #Pivotal Software and #Teradata This report is available at a USD 1,000 discount for a limited time only: View market snapshot before purchasing Buy 1 Technavio report and get the second for 50% off. Buy 2 Technavio reports and get the third for free. Growing structured and unstructured data: a major market driver Growing structured and unstructured data is one of the key factors driving the global Hadoop market. Enterprise data, including structured data and unstructured data, is generated from various sources such as enterprise applications, web-based search, social networks, and cloud-based applications. The data coming from embedded systems and metadata are some of the fastest-growing data segments. Hadoop is necessary for organizations to process the huge volumes of big data generated and to use the data effectively. Hadoop and big data analytics assist enterprises to optimize their business decisions and innovate new business models, products, and services offerings. According to Amrita Choudhury, a lead analyst at Technavio for research on enterprise application, “Accessibility to Hadoop, as a part of or as an extension to the corporate information framework, is necessary. It should be made available for analysis and decision-making. Companies use Hadoop and Spark for real-time analytics. They are also used for fraud detection, product design and development, and process automation. Therefore, the growth of structured and unstructured data is expected to fuel the demand for Hadoop during the forecast period.” Looking for more information on this market? Request a free sample report Technavio’s sample reports are free of charge and contain multiple sections of the report including the market size and forecast, drivers, challenges, trends, and more. BFSI sector: largest end-user segment Hadoop is utilized across the BFSI sector for various applications such as fraud detection, data security, customer intelligence, data modeling, neural network scoring, social media management, and customer analysis. Big data on Hadoop assists to pick up odd patterns and alerts the bank of the same. Sigorta Bilgi ve Gözetim Merkezi (SBM), also known as Insurance Information and Monitoring Center, is a non-commercial legal entity in the body of the Union of Insurance and Reinsurance Companies of Turkey. SBM uses SAS Fraud Framework and analytics to improve the fraud detection rates and to focus more on organized fraud cases. Competitive vendor landscape The global Hadoop market is not intensely fragmented. The dominating players in the market are Hortonworks, Cloudera, MapR Technologies, and Microsoft. There is intense competition among these vendors. Owing to the increased competition, consolidation is being observed in the industry wherein smaller players are being acquired by or merged with the major players. Moreover, the changing technological environment is a major challenge for the global vendors. To survive and succeed in this intensely competitive environment, it is essential that the vendors differentiate their products and services through clear and unique value propositions.
http://www.businesswire.com/news/home/20171126005027/en/Key-Insights-Global-Hadoop-Market-Technavio
Sunday, November 12, 2017
Teradata - Its Turnaround Journey Just Took A Few Steps Forward
@Teradata - Its Turnaround Journey Just Took A Few Steps Forward Nov. 10, 2017 1:22 PM • TDC Summary Teradata reoported its results late last week. The company's quarter featured noticeable beats in terms of revenues, and earnings as well as an increased forecast for Q4. The company's preliminary forecast for 2018 indicated results well above prior consensus levels. While the shares responded positively to the strong quarter, their valuation remains very compressed and does not reflect the potential for future growth. Most third party market researchers continue to rate Teradata's offerings as the best in its market segment, which itself is large and rapidly growing. Teradata - This quarter there were a few blossoms along with green shoots One of my pet peeves about earnings season is that it is…well a season and lots of companies report in a very short time and investors are compelled to evaluate lots of information without either the time or the details with which to make informed judgements. Investors, on average, have far more interest in the results of a Shopify (SHOP) or Microsoft (MSFT) than they do regarding the results of a little known and not well-respected name such as a Teradata (TDC). And yet, the appreciation potential for TDC shares is likely to be at least as substantial the former two names-just because it is currently little known and less respected as a company. At some level, finding these neglected and disrespected businesses that have been left as road kill by most analysts and investors is how I try to make part of my living. Owning momentum growth names such as Amazon (AMZN) and Facebook (FB) has been a profitable strategy this past year and requires far less effort than attempting to shine some light in a dusty quarter. The QQQ is up by 20% YTD which represents a challenging hurdle for stock pickers. Perhaps of more significance, the IGV tech/software index has risen by 42%, far more than the 18% appreciation of TDC shares over the same time period. Will those trends continue? Will that kind of relative performance persist? I am inclined to doubt either one is likely to be the case over the coming year-although I still hold my Amazon shares. I think it is worth looking at the operational performance of Teradata this past quarter to determine if the gap between its share price performance, and the performance of the IGV index, in particular, has been justified and if it has the potential to achieve better performance on a relative basis in the coming quarters. Needless to say, I think the latter is likely-else I wouldn’t be writing this article and wasting key strokes and electrons. But trying to find undiscovered and unloved corners of the IT firmament has become an increasingly difficult undertaking and one that requires investors to cast their nets further afield. Investors are right to want to invest in the big data/analytics space. It continues to grow at rates substantially greater than IT as a whole and given the breadth of use cases that enterprises have been deploying, that trend seems likely to continue for years to come. But it is not terribly easy to find an investment vehicle that is totally attuned to the space and which is likely to benefit explicitly from the trends in the market. I certainly do not think that companies in the data visualization space such as Tableau (DATA) are really likely to be long-term beneficiaries. Companies riding the #Hadoop wave such as @Hortonworks (HDP) and @Cloudera (OTC:CLDR) continue to grow rapidly, but their path to profitability is long and rocky. And then there is @Teradata, a company that in some ways has been a big data pioneer. The company was poised to do excellent things but simply lost its way under its former CEO who was replaced in a sort of “hail Mary” for the company’s independent survival by Vic Lund about 18 months ago. It has been an interesting journey so far, if not a terribly profitable one for the shares. But the last quarter or two suggest that the opportunities inherent in this company’s technology and its installed base are on the cusp of realization. Advertisement  Reviewing the quarter and the guidance Teradata reported its results for Q3 on last week. The results were better than expectations in terms of reported EPS, revenues and growth of product ARR. Guidance was increased as well because of the strength of the pipeline. Specifically, the company reported revenues of $526 million which was about 3% above the prior consensus with EPS of $0.29, an $.08 beat although some of that was based on the timing of tax obligations (excluding that factor, EPS was $.03 above the prior consensus). In terms of revenue performance, the most important number to consider I believe, was the growth of product ARR which reached 23%. Recurring product revenue increased by 9% sequentially. This trend is not yet visible in the deferred revenue metric as most deferred revenues are still generated by annual maintenance contract billings. The company forecast for its Q4 was increased modestly, by about 1%-2%. The company is seeing a rapid and substantial transition to subscription-based consumption offerings The CFO indicated that the company's large deal pipeline was significantly skewed with most transactions likely to be based on some kind of subscription pricing. As a result, it is forecasting product ARR growth in the mid 20% range. That is a significant number and suggests that the company has been able to sell an increasing volume of deals with consumption models new to Teradata. The company’s EPS forecast looks like a guide-down but that is a function of the aforementioned timing of tax obligations. At the mid-point, and adjusted for the timing of tax recognition, TDC increased its EPS expectation by $.01. I might point out that Teradata uses a relatively modest level of stock based comp, net of tax provisions, and has no amortization or acquisition related expenses to report either. While logically, this ought to be a factor in evaluating the company’s performance and its valuation, that is not likely to be the case. Investors have their preferences when it comes to such things and the absence of stock based comp simply isn’t valued to any great extent. The company’s transition is weighing noticeably on its P&L which is typical of companies moving their revenues to a subscription model. This company continues to sell some hardware in conjunction with its software offerings so the transition to a ratable model inevitably has and will take a toll on reported gross margins. Last quarter, the company saw its gross margins decline by almost 600 basis points on a GAAP basis, although they increased at a marginal rate sequentially. The company will need to be much further along in its transition to ratable revenue sources before it is likely that it will be able to improve its expense ratios on a consistent basis. Part of the decline in gross margins relates to service performance which saw a decrease of more than 500 basis points, mainly a function of the company’s consulting practice. The company's consulting practice is also in the midst of a transition which has lead to longer and more complex assignments and stretched revenue recognition. The consulting initiatives are part of the company's marketing effort and a necessary component of the company's strategy to reignite growth and to differentiate what it offers. The results of the company's consulting business in Q3 was a continuation of trends forecast over the past year although the company is now forecasting some improvement in Q4 in this segment in Q4 based on revenue recognition from milestone attainments of larger contracts. The company had a noticeable increase in GAAP operating expense which rose by about 20% year on year. GAAP operating expenses actually fell a bit sequentially but they will remain at elevated levels as a ratio, I imagine, for the foreseeable future. This trend is also a product of the transition of the company to a ratable revenue model coupled with initiatives to broaden the product footprint and to provide users with additional functionality. GAAP research and development cost actually increased by 78% year on year although the sequential increase in research and development spend was just 5%. Selling, general and administrative expense was down by 3% year on year, with the selling component rising and the general and administrative component falling. Teradata, reversing many years of being a closed environment now allows its users to work with their preferred analytic tool and across data sources with the best capability, elasticity and performance for their specific use case. It is probably a bigger deal in terms of appealing to users than it might seem. But these initiatives are taking a toll on reported EPS and while the company will likely improve its optics in 2018, the larger payoff is probably still a few quarters down the road. The company has offered a preliminary outlook for 2018. It expects to return to reported growth in terms of revenues, EPS and free cash flow. The only specific quantitative number that was offered in this guide was product ARR which is expected to grow in the low 20% range. That is actually a number consistent with metrics from companies that are far more highly valued than TDC, but which have much better optics. For investors looking at growth more than optics, low 20% ARR growth is a very healthy number to consider. The company forecast that EPS growth would be more than 10% and as it happens that is a significantly greater increase than the current consensus. The company did not discuss just how much greater than 10% growth it expected for EPS and I suppose that is not terribly surprising. Essentially, TDC has now forecast EPS expectations that will be in the range of $1.40-$1.45 at a minimum, compared to the current published First Call consensus of $1.28. Is Teradata competing successfully in the big data analytics market? Handicapping turnarounds is always a difficult undertaking. There are many things that can and often do go wrong. Teradata has been a tired company with an inflexible and possibly obsolescent set of offerings. The company seemingly lacked vision and was clearly not being effectively run. It can always be difficult to turn that around. Teradata is one of the lowest rated stocks in my coverage universe and presumably those ratings reflect analyst disbelief that a turnaround can be successfully engineered. It is one of the reasons why the company has such major potential share price appreciation. The key is not likely to be this company’s business model or its cost structure. The key is going to be whether this company can retain and solidify its competitive positioning in its space and enjoy the kind of growth commensurate with the expansion of analytic and big data use cases. Teradata’s major competitors at this point include IBM (IBM), Oracle (ORCL), SAP (SAP), SAS Institute and Microsoft (MSFT). AWS (AMZN) offers a solution in the space. I have linked here to the latest Gartner study of competition. As has been the case for many years at this point, Teradata is most highly ranked. I do not necessarily agree with everything that Gartner writes. Still, it might be worthwhile considering some of its commentary about TDC’s competitive positioning: “Teradata has built a DMSA platform that addresses all use cases…Teradata’s ability to integrate with multiple data sources including Hadoop and streaming data, to provide a unified query interface and to deploy in multiple environments such as appliances, software and the cloud, demonstrate its market leadership in product capabilities and a strong vision for the future.” According to Gartner, "Nearly 80% of Teradata’s reference customers consider it to be the standard DMSA (data management solutions for analytics). “Teradata’s reference customer scores for performance across a broad range of use cases, were among the best of all the vendors in this Magic Quadrant.” These days TDC is actually the bargain of the query world. From the CEO script on the last conference call transcript-but not necessarily invalid, nonetheless, “The other guys can’t come close to the cost per query from Teradata. This is the real measure of value of data, how much work can be done in a given amount of time? We ran a benchmark on one million real-world queries, and the cost per query from TDC was less than $60 versus more than $600 for the leading cloud database.” I have no reason to disbelieve the number-although I would like to see Teradata use those kinds of statistics to broadcast its message more effectively. What I can say is that going back for a decade, TDC was considered by analysts and users always the most expensive solution and now it is the cheapest. Eventually users react to those kinds of differences-and to the extent that the 20%-25% growth in product ARR is an indicator, they already are. One of the major issues for Teradata is overcoming user reluctance to adding an additional database to their environments. The company, at least over the past year or so, has attempted to reach out to that concern by making it easier for users to consume Teradata in multiple environments without many constraints. Again, from the CEO script., “Fourth, move anytime. With TDC Everywhere, we’ve revolutionized software license portability so companies can move their software where needed across deployment options. There is no lock-in as with other vendors. This is an enterprise software industry first.” I am not sure if this iteration of license portability is really a first, but it is certainly a marked differentiator compared to TDC’s larger competitors. In some ways, it is a similar strategy to that being adopted by Nutanix (NTNX) which allows its software stack to be used on most hardware platforms depending on user needs. TDC’s most salient competitive disadvantage is that it is specializes in one technology and competes with giant vendors who are able to leverage their incumbent status as a DBMS vendor. Many of the larger vendors have incorporated some of the features necessary to support analytical applications without the need for a specialized database, In some cases that restricts TDC’s potential in a client to the most demanding analytical use cases. That has been a marketing issue since TDC has been a company; it seems likely that the proportion of more demanding analytical use cases has risen as this market segment has shown rapid growth. Teradata has probably never had a better competitive position than is the case currently. It always has had a differentiated database suitable for complex queries. Its advantages in doing that job have seeming been reinforced over the years. It has far more flexible consumption options than its competitors and contrary to its long-held position as selling solutions at a premium, it has become the bargain solution in normal environments. The company’s challenge isn’t technology or competition but to communicate its advantages and to close deals. It isn’t a simple task to reverse negative momentum and this company has to overcome many negative perceptions that were allowed to fester amongst its users and potential customers. But I think it is fair to suggest that TDC should start to achieve market share gains and big deal success. While retuning the organization to enhance sales execution is a something that still has a ways to go, the company is equipped to win against it major rivals. The market for Data Management/Analytics is quite large, with most observers projecting the TAM at over $100 billion including both hardware and software. IDC projects this market to have a CAGR of 12% over the next few years. A competitive TDC, in a market growing at 12%, would readily stand consensus expectations for growth on their head. IDC, in its October report suggests the market size currently is $130 billion. Teradata has substantial growth opportunities in this market-it simply needs to marshall its strengths and execute properly in order to restore double digit growth in revenues and rapid growth in EPS. Needless to say, however, that is not that simple of a task. Valuation Teradata, as was pointed out at the start of this article, has seen chronic underperformance of its shares for several years now and is one of the rare tech companies that is nowhere near a high, selling at less than half the price the shares once fetched. Teradata currently has about 126 million fully diluted shares outstanding and at current market prices, it has a capitalization of $4.4 billion. With net cash of just less than $500 million, the enterprise value of Teradata is $3.9 billion. 2018 sales, as projected by management during the conference call should be around $2.2 billion. That calculates to an EV/S of 1.8X. I think that represents a bargain ratio and one moreover, that doesn’t represent a value trap. TDC is still in the early innings of an earnings turn-around, and the nature of a transition that involves switching the preponderance of revenues from up-front revenue recognition, to a mix of product consumption arrangements that involve multi-year terms, will be one that constrains rapid growth of EPS in its early stages. That said, the company has forecast that its EPS will reach in the range of $1.40-$1.45 next year, which is significantly greater than the current consensus as recorded by First Call. The P/E, based on TDC’s forecast is now 24.6X. In these days of generally elevated valuations, a 25X P/E is a relative bargain, but a bargain only insofar as TDC can continue to nurture its very nascent revenue. growth recovery. Again, the basic theme of the preponderance of the analysts who have rated the shares at hold or sell, is that TDC remains road kill with no plausible scenario that will lead to a lasting growth recovery. I think that is shoddy analysis, that hasn’t chosen to look at the company’s latest developments. At this stage, TDC is not really a cash flow story although it has a relatively substantial free cash flow yield.. Cash flow from operations was negative last quarter and stands at $300 million for the first nine months of 2017. I don’t rate this company a cash flow story because most of its cash flow comes from the decline in receivables which is correlated to some degree to a decline in revenues. In addition, the decline in DSO, which is substantial, is not something that can be a longer term source of CFFO. The change in deferred revenues thus far this year has been negligible, and while it is likely to show a seasonal increase in Q4, at this point, ratable revenue arrangements are not seeing cash collections in advance of revenue recognition. That could possibly change going forward. As mentioned, TDC shares are almost completely unloved with but 2 lonely buy recommendations listed by First Call out of 22 analysts reporting their ratings. I personally think that is a good set-up for investors but not all will agree. At the end of the day, the question is simply will TDC be able to achieve the business goals the CFO laid out during the last call. The CFO (who is taking a medical leave after a long period of battling ill-health) has forecast a return to growth coupled with a strong increase in product ARR. The rating of the shares and the valuation metrics in no way reflect that there is any broad belief that this is a likely scenario. As I have pointed out, the company has better technology, at least in the view of third party market researchers, a very loyal installed base, very flexible terms for buying its solutions and very competitive prices. It is competing in a strongly growing market that should continue to see double digit expansion. It should be successful in achieving, and really over-achieving the objectives laid out by the CFO in what is presumably his swan song. It is hard to know when a turnaround gets recognized. In the case of TDC, while the company has shown some green shoots and a bit more, the recognition that it could be a major contender in its space has simply not yet happened. The company tried to enthuse analysts in its presentations last fall without success. I think that investors looking for a turnaround with substantial potential for positive alpha could do lots worse than consider TDC at this point but some level of patience will be required with owning this name. Disclosure: I am/we are long TDC. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.
https://seekingalpha.com/article/4123386-teradata-turnaround-journey-just-took-steps-forward
Hadoop – Global Market to witness astonishing growth of 39% in next years
HTF’s analysts forecast the global hadoop market to grow at a CAGR of 39.49% during the period 2017-2021. HTF recognizes the following companies as the key players in the global #Hadoop market: @Amazon, @Cloudera, @Hortonworks, @IBM, @MapR Technologies, @Microsoft, @Pivotal Software, and @Teradata. Commenting on the report, an analyst from HTF’s team said: “One trend in the market is increasing market consolidation and partnerships. The consolidation in the global Hadoop market is increasing. Many large enterprise computing vendors are increasingly acquiring companies to attain new big data technologies. Larger vendors are targeting smaller companies to expand their business portfolio in the global big data and Hadoop market.”
Wednesday, October 25, 2017
Databricks Puts ‘Delta’ at the Confluence of Lakes, Streams, and Warehouses
@Databricks today launched a new managed cloud offering called #Delta that seeks to combine the advantages of #MPP #datawarehouses, #Hadoop #datalakes, and streaming #dataanalytics in a unifying platform designed to let users analyze their freshest data without incurring enormous complexity and costs. Despite their reputations as “legacy” technologies in some circles, traditional MPP-style data warehouses like those from @Teradata, @HPE, @IBM, and @Oracle still have a lot to offer enterprises in many respects, according to Databricks Vice President of Product Bharath Gowda, including clean data, transactional support, and solid performance. “The biggest challenge we hear from customers [regarding data warehouses] is it requires lots of ETL,” he says. “Once you get the data into the data warehouse, things are good. But the process of just getting data into the data warehouse is complicated and tedious.” When Hadoop started to catch on about seven years ago, enterprises were eager to take advantage of perceived advantages over MPP data warehouses, including greater scalability, cheaper storage, and more open data formats. Certainly many enterprises tried to replace their warehouse with Hadoop running Hive, Impala, and other SQL query engines, but few have made them work, Gowda says. “They took for granted the problems that data warehouses solved,” he says. “Performance was taken for granted. Data consistency was a huge challenge. And most of the data lakes that we hear of when we talk to customers, they’ve become really inexpensive messy data store with very limited analytics being done.” Gowda says research by Gartner shows fewer than 15 percent of Hadoop implementations have succeeded. “There were lots of implementation in development, but very few of them have moved to production and actually met the expectations,” he says. “It’s not just that it didn’t address performance challenges. It’s the level of work that needs to happen to pull these things together.”  Databricks is positioning Delta as a unified data management system that offers the best of both worlds — the scalability and flexibility of Hadoop and the dependable performance and data consistency of MPP warehouses — with support for streaming analytics and machine learning thrown in to boot. The offering runs in AWS and utilizes the S3 object store as a fully managed services. As a customers’ data streams in via Kinesis, Kafka, or other streams, Delta runs user-defined transformations written by the user in Scala, Java, Python, or R and accessing the Spark DataFrame API. Once the data is transformed, it’s stored in the Parquet format and made immediately available for SQL style processing, machine learning, and streaming analtyics. The advantage of Delta stems from the way it handles reads and writes, Gowda says. Regarding writes, Databricks implemented ACID transactions to make sure that multiple writes don’t overwrite each other, and to deal efficiently with failed writes. “We’re saying, customers only have to focus on business logic,” he says. “And when you do a write, we will ensure the write is consistent, that it’s ACID compliant.” On the read front, the company has implemented a range of techniques like automatic partitioning data skipping, caching, and indexing to automate performance tuning. “That means that you, the data engineer, basically says ‘Here are the columns that I care about, here are the predicates that I usually use in the business’ and then based on those things, we will automated the performance aspect of it,” Gowda says.  Customers could use Apache Spark running on AWS to build their own type of streaming data pipeline, or they could tap a third-party vendor like Snowflake to build and host a warehouse. But Databricks is gambling that customers will pay to make all the problems go away, thereby allowing them to focus on solving business problems instead of wrangling data and infrastructure. One such customer is the popular automobile website Edmunds.com, an early Delta user. Having real-time customer and revenue data is very important to Edmunds.com’s business, but complex ETL processes slowed down access to data, according to Greg Rokita, Edmunds.com executive director of technology. “Databricks Delta allows us to overcome this roadblock by blending the performance of a data warehouse with the scale and cost-efficiency of a data lake,” Rokita says in a press release. “We now have a simplified data architecture that enables immediate access to business-critical data.” Ali Ghodsi, co-founder and CEO at Databricks, says Delta could finally provide a solution for customer that have struggled with maintaining data lakes and data warehouses, and moving data between them. “With this unified management system, enterprises now benefit from a simplified data architecture and faster access to relevant data – increasing their ability to make decisions that drive results,” he says in a press release. “We have solved a massive struggle facing organizations that are on a mission to run their business in real-time.
https://www.datanami.com/2017/10/25/databricks-puts-delta-confluence-lakes-streams-warehouses/
Tuesday, October 24, 2017
CLOUD-BASED DATABASE GLOBAL MARKET 2017- SALESFORCE, CASSANDRA, SAP, COUCHBASE, MONGODB AND TERADATA
Global Cloud-based Database Research Report serves as a comprehensive guide to provide the latest Cloud-based Database industry trends like the growth opportunities, Cloud-based Database market size, product launch events and market drivers. This report offers the competitive landscape study of Cloud-based Database based on key manufacturers, market presence in various regions and Cloud-based Database market revenue. Global Cloud-based Database market is foreseen to experience tremendous growth due to technological advancements and innovations in the Cloud-based Database product. All the relevant details like product type, Cloud-based Database manufacturing cost, market scope, Cloud-based Database applications are evaluated at depth in this report. This report presents the past, present and forecast Cloud-based Database market information like the market size, Cloud-based Database growth rate, emerging sectors, Cloud-based Database revenue and consumer volume. Analysis of Cloud-based Database market statistics, market competition, Cloud-based Database production capacity, and utilization ratio will be useful to all the Cloud-based Database market aspirants. Global Cloud-based Database report analyses provide the Cloud-based Database industry view based on company profile of key Cloud-based Database players, their sales revenue, Cloud-based Database business strategies and market gain. The Cloud-based Database industry is sited to see a dynamic growth due to changing consumer demand, Cloud-based Database import/export scenario and analysis of Cloud-based Database emerging segments. This report presents the vital company details in the form of graph and tables which will offer a comprehensive view of Cloud-based Database industry. The analysis of Cloud-based Database growth opportunities, region-based study, and Cloud-based Database investment feasibility study will lead to accumulation of revenue. All the Cloud-based Database marketing strategies, business tactics, and forecast Cloud-based Database market trends will help the readers in identifying the Cloud-based Database growth factors. Do Enquiry for Cloud-based Database report here: http://emarketresearch.us/global-cloud-based-database-market-2017-2022/#Inquiry-Before-Buying Global Cloud-based Database report is segmented as follows: Global Cloud-based Database Market segmentation based on regions: This portion elaborates the major Cloud-based Database producing regions like North America, Europe, Asia-Pacific, Latin America, Africa, and Middle-East regions. Furtherly, the key countries involved in Cloud-based Database industry like United States, Mexico, Israel, Japan, China, Canada, Korea, India, Germany, UK, France, Russia, Italy, and Southeastern countries are covered. Global Cloud-based Database Market segmentation based on Manufacturers: This portion evaluates the Cloud-based Database market based on top manufacturers, their company details, sales volume, region, supply/demand scenario and Cloud-based Database development trends. Leading #Cloud -based #Database players are @Salesforce, @Cassandra, @IBM, @Google, @Alibaba, @MongoDB, @Rackspace Hosting, @Oracle, @AmazonWebServices, @Microsoft, @Tencent, @SAP, @Teradata and @Couchbase. Global Cloud-based Database Market segmentation based on product type: This portion cuts Cloud-based Database market into #NoSQL Database and #SQL Database. Also, lists all the Cloud-based Database product types based on classification, description, definiton, Cloud-based Database product scope, and consumer demand. Cloud-based Database Market segmentation based on product application: This portion divides Cloud-based Database market into Large Enterprises and Small and Medium Business. Wide-spread product applications can be attributed to the technological advancement and innovations taking place in Cloud-based Database sector.
Global Big Data Analytics in Healthcare Market Trends and Key Players – Hewlett-Packard Co., IBM Corp., Oracle Corp., Teradata Corp., Amazon Web Services, Inc., Cloudera and More
Market Overview on Global Big Data Analytics in Healthcare Industry: The research report titled Global Big Data Analytics in Healthcare Market offers useful insights into the trends and the factors that propel this Global market. This market study comprehensively discusses the salient features of the Global Big Data Analytics in Healthcare market in terms of the market structure and landscape, the challenges, demand factors, and the expected market performance. Download Sample Copy@ https://www.reportsmonitor.com/request-sample/?post=393505 The Big Data Analytics in Healthcare market is characterized by constant technological innovation to keep pace with the changing industrial needs. This Big Data Analytics in Healthcare Market report provides detailed analysis of worldwide markets for Big Data Analytics in Healthcare from 2012-2017 and provides extensive market forecasts 2017-2022 by region/country and subsectors. The report firstly introduced the Big Data Analytics in Healthcare Market basics: definitions, classifications, applications and market overview; product specifications; manufacturing processes; cost structures, raw materials and so on. Then it analyzed the world’s main region market conditions, including the product price, profit, capacity, production, supply, demand and market growth rate and forecast etc. In the end, the report introduced new project SWOT analysis, investment feasibility analysis, and investment return analysis. Scope of the Report This report studies the Global #BigData #Analytics in #Healthcare market, analyzes and researches the Big Data Analytics in Healthcare development status and forecast in Global, EU, Japan, China, India and Southeast Asia. Following Key players are covered: @HewlettPackard Co., @IBM Corp., @Oracle Corp., @Teradata Corp., @Amazon Web Services, Inc., @Cloudera, Inc., @Couchbase Inc., @EMC Corp., @Google Inc., @Microsoft Corp., @SAP AG, @Splunk Inc., @Pentaho Corporation Market segment by Type, Big Data Analytics in Healthcare can be split into #DescriptiveAnalytics, #PredictiveAnalytics , #PrescriptiveAnalytics Market segment by Applications, Hospitals & Clinics, Finance & Insurance Agencies , Research Organization additionally, this report recognizes pin-point investigation of adjusting competition subtleties and keeps you ahead in the competition. It offers a fast looking perception on different variables driving or averting the development of the Big Data Analytics in Healthcare market. It helps in understanding the key product areas and their future. It guides in taking knowledgeable business decisions by giving complete constitutions of the market and by enclosing a comprehensive analysis of market subdivisions. To sum up, it equally gives certain graphics and personalized SWOT analysis of premier market sectors. This Study on the Global Big Data Analytics in Healthcare Market is an all-inclusive study of the business sectors up-to-date outlines, industry enhancement drivers, and manacles. It provides market projections for the coming years. It contains an analysis of late augmentations in innovation, Porter’s five force model analysis and progressive profiles of hand-picked industry competitors. The report additionally formulates a survey of minor and full-scale factors charging for the new applicants in the Big Data Analytics in Healthcare market and the ones as of now in the market along with a systematic value chain exploration.
Monday, October 16, 2017
GLOBAL HADOOP MARKET 2017- MAPR TECHNOLOGIES , PENTAHO, HORTON WORKS AND CLOUDERA .
Global Hadoop Market research report starts with basic introduction of Hadoop market, basic definitions, end-user applications, classifications and industry chain structure. The report also predicts upcoming Hadoop market tendencies by analyzing past market values and current Hadoop market needs. Comparison of past, current and future data is also accomplished in the global Hadoop industry report so as to envision drastic conversion of Hadoop market. The report keeps a complete picture of Hadoop market size and growth in front of our clients and enhances them to make right Hadoop business decisions. It entails bureaucratic outlook of the Hadoop market both regionally and internationally. Clients face major challenges and disputes while analyzing the Hadoop market. Hence, Hadoop market demand and supply analysis mentioned in the Hadoop study would help clients to face those challenges conveniently. Different strategies used to retrieve the relevant and crucial data are also mentioned in the Hadoop research report. The Hadoop report also acknowledges remarkable data including sales margin, business deceits, Hadoop company profiles along with their company information, and scale of demand to supply. It also throws a light on cropping up products of Hadoop industry, details of product price/cost and various market forces. Towards the end, the Hadoop report highlights the critical process analysis carried out by Hadoop experts and professionals. For more details about Global Hadoop Market report enquire here: https://market.biz/report/global-hadoop-market-icrw/42628/#inquiry The global Hadoop market research report is isolated according to key manufacturers, different categories of products & Hadoop applications. According to the research information, the Hadoop market is highly diverse and competing because of a large number of local and global Hadoop vendors. The Hadoop players focusing on the development of new Hadoop technologies and feedstock to strengthen the technological expertise in Hadoop industry. Manufacturers based Segmentation of Global Hadoop Market gives detailed infomation about leading players of @Hadoop which includes @HStreaming LLC, @CiscoSystems, @HortonWorks, @Cloudera ., @Karmasphere ., @EMC – @Greenplum, @Pentaho, @Teradata Corp., @MapR Technologies ., @IBM Corp. and .. Types based Segmentation of Global Hadoop Market categories into SQL Layer, Analytics and Visualization, Searching and Indexing, Machine Learning, Hadoop Application Software and Hadoop Performance Monitoring Software. Application analysis is also included along with type analysis which divides the Hadoop market into Manufacturing, Media and Entertainment, Banking, Financial services and Insurance (BFSI), Telecommunications, Healthcare and Life Sciences and Retail. Regions based Segmentation of Global Hadoop Market mainly focuses on Hadoop specific regions of the world including North America, South America, Europe, Asia-Pacific and the Middle East. Market growth of Hadoop industry is expected to grow with significant CAGR during the Hadoop forecast period from 2017 to 2022. Click here for request a global Hadoop market report: https://market.biz/report/global-hadoop-market-icrw/42628/#requestforsample Major highlights of the Global Hadoop market Report: The Hadoop report chiefly evaluates the in-depth groundwork of the Hadoop market and covers major geographical Hadoop regions. It provides clear tolerant about the Hadoop market along with different opportunities, constraints, Hadoop growth, and practicality. It also displays various Hadoop plans and policies, industrial chain, rules and regulations of the Hadoop industry. At last, the overall global Hadoop market report will assist the new aspirants in making right Hadoop business choices.
http://publicistreport.com/market-research-news/global-hadoop-market-2017.html
Sunday, October 8, 2017
Global Hadoop Market Report 2017: Analysis & Trends 2014-2016 & Industry Forecasts 2017-2025
Dublin, Oct. 06, 2017 (GLOBE NEWSWIRE) -- The "Global Hadoop Market Analysis & Trends - Industry Forecast to 2025" report has been added to Research and Markets' offering. The Global Hadoop Market is poised to grow at a CAGR of around 42.7% over the next decade to reach approximately $54.2 billion by 2025. This industry report analyzes the market estimates and forecasts of all the given segments on global as well as regional levels presented in the research scope. The study provides historical market data for 2014, 2015 revenue estimations are presented for 2016 and forecasts from 2017 till 2025. The study focuses on market trends, leading players, supply chain trends, technological innovations, key developments, and future strategies for the existing players, new entrants and the future investors. Some of the prominent trends that the market is witnessing include rising demand for data analytics and increasing number of partnerships and fundings taking place in hadoop Market.
10 Leading @Hadoop Companies
@Cloudera, Inc
@AmazonWebServices
@Datameer,
@Mapr
@TeradataCorporation
@MarkLogic
@Karmasphere,Inc
@Pentaho
@Hortonworks
@Cisco Systems, Inc
@IBM Corporation
@Oracle Corporation, Inc
@OpenX
@Vmware
@Pivotal
Tuesday, September 5, 2017
Cloud Analytics Market Status 2017 SAP SE, Oracle Corporation, Microsoft Corporation, IBM Corporation, Teradata Corporation, Google Incorporation, Hewlett-Packard, SAS Institute, Tableau Software, Microstrategy
Global Cloud Analytics Market Size, Status and Forecast 2022 provides Market information about Manufacturers, Countries, Type and Application.This Industry report also states Company Profile, sales, Cloud Analytics Market revenue and price, market share, market growth and gross margin by regions. Top Manufacturers/Key Players: #SAP SE #Oracle Corporation? #Microsoft Corporation #IBM Corporation #Teradata Corporation? #Google Incorporation #HewlettPackard #SASInstitute #TableauSoftware #Microstrategy
Monday, September 4, 2017
Hadoop Software Market : Trend And Future Scope Of The Report 2017
#Hadoop Software Market research report helps to get access to industry data and upcoming trends which will give you avenues to know about the market. This report gives opportunities to go through with industry analysis, share and forecast, Providing brief description about the market size its competitors and product identification. This report studies Hadoop Software in Global market, especially in North America, Europe, China, Japan, Korea and Taiwan, focuses on top manufacturers in global market, with production, price, revenue and market share for each manufacturer, covering #ClouderaInc. #HortonWorks #IBMCorp. #Pentaho #MapRTechnologiesInc. #Karmasphere Inc. #EMC - #Greenplum #HStreamingLLC #CiscoSystemsInc. #TeradataCorp.
Thursday, July 20, 2017
The 7 Best Data Visualization Tools In 2017
#BigData and the ever-growing access we have to more information is the driving force behind artificial intelligence and the wave of technological change sweeping across all industries. But all the data in the world is useless – in fact it can become a liability – if you can’t understand it. Data visualization is about how to present your data, to the right people, at the right time, in order to enable them to gain insights most effectively.
Luckily visualization solutions are evolving as rapidly as the rest of the tech stack. Charts, videos, infographics and at the cutting edge even virtual reality and augmented reality (VR & AR) presentations offer increasingly engaging and intuitive channels of communication.
Here’s my run-down of some of the best, most popular or most innovative data visualization tools available today. These are all paid-for (although they all offer free trials or personal-use licences). Look out for another post soon on completely free and open source alternatives.
Tableau
Big Data and the ever-growing access we have to more information is the driving force behind artificial intelligence and the wave of technological change sweeping across all industries.
But all the data in the world is useless – in fact it can become a liability – if you can’t understand it. Data visualization is about how to present your data, to the right people, at the right time, in order to enable them to gain insights most effectively.
Shutterstock
Luckily visualization solutions are evolving as rapidly as the rest of the tech stack. Charts, videos, infographics and at the cutting edge even virtual reality and augmented reality (VR & AR) presentations offer increasingly engaging and intuitive channels of communication.
Here’s my run-down of some of the best, most popular or most innovative data visualization tools available today. These are all paid-for (although they all offer free trials or personal-use licences). Look out for another post soon on completely free and open source alternatives.
Tableau
Tableau is often regarded as the grand master of data visualization software and for good reason. Tableau has a very large customer base of 57,000+ accounts across many industries due to its simplicity of use and ability to produce interactive visualizations far beyond those provided by general BI solutions. It is particularly well suited to handling the huge and very fast-changing datasets which are used in #BigData operations, including artificial intelligence and machine learning applications, thanks to integration with a large number of advanced database solutions including #Hadoop, #Amazon #AWS, #MySQL, #SAP and #Teradata. Extensive research and testing has gone into enabling Tableau to create graphics and visualizations as efficiently as possible, and to make them easy for humans to understand.
great deal of flexibility. One feature that has helped make FusionCharts very popular is that rather than having to start each new visualization from scratch, users can pick from a range of “live” example templates, simply plugging in their own data sources as needed.
Highcharts
Like FusionCharts this also requires a licence for commercial use, although it can be used freely as a trial, non-commercial or for personal use. Its website claims that it is used by 72 of the world’s 100 largest companies and it is often chosen when a fast and flexible solution must be rolled out, with a minimum need for specialist data visualization training before it can be put to work. A key to its success has been its focus on cross-browser support, meaning anyone can view and run its interactive visualizations, which is not always true with newer platforms.
Monday, July 17, 2017
Global Big Data Services Market 2017 - Teradata, Alteryx, Chartio, Continuum Analytics, Hortonworks, Microsoft
The report studies #BigData Services in Global market Professional Survey 2017 : Size, Share, Trends, Industry Growth, Opportunity, Application, Production, Segmentation, Cost Structure, Company Profile, Product Picture and Specifications during the Forecast period by 2022 The report firstly introduced the Big Data Services basics: definitions, classifications, applications and industry chain overview; industry policies and plans; product specifications; manufacturing processes; cost structures and so on. Then it analyzed the world's main region market conditions, including the product price, profit, capacity, production, capacity utilization, supply, demand and industry growth rate etc. In the end, the report introduced new project SWOT analysis, investment feasibility analysis, and investment return analysis.
Annual estimates and forecasts are provided for the period 2017 through 2022. Also, a six-year historic analysis is provided for Automated Liquid Handling markets. Market data and analytics are derived from primary and secondary research. Company profiles are primarily based on public domain information.
Scope of the report:
Covered in this report
The report covers the present scenario and the growth prospects of the global Big Data Services market for 2017-2021. To calculate the market size, the report considers the new installations.
Top Manufacturers
#Accenture
#Deloitte
#Hewlett-Packard
#IBM
#PricewaterhouseCoopers
#SAP
#Teradata
#Alteryx
#Atos
#Attivio
#Chartio
#Cirro
#ClearStory Data
#Cloudera
#ContinuumAnalytics
#Datameer
#DataStax
#Doopex
#Dell
#Enthought
#Hortonworks
#MAANA
#MapR Technologies
#MarkLogic
#Microsoft
#MongoDB
#MuSigma
#Predixion Software
#SASInstitute
Fior Markets report, Global Big Data Services Market 2017-2022, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.
The market is divided into the following segments based on geography:
United States
EU
Japan
China
India
Southeast Asia
Thursday, July 13, 2017
Teradata Acquires San Diego-based Start-up StackIQ to Strengthen Teradata Everywhere and IntelliCloud Capabilities
SAN DIEGO, July 13, 2017 /PRNewswire/ -- #Teradata (NYSE: TDC), the leading data and analytics company, today announced the acquisition of #StackIQ, developers of one of the industry's fastest bare metal software provisioning platforms which has managed the deployment of cloud and analytics software at millions of servers in data centers around the globe. The deal will leverage StackIQ's expertise in open source software and large cluster provisioning to simplify and automate the deployment of Teradata Everywhere. Offering customers the speed and flexibility to deploy Teradata solutions across hybrid cloud environments, allows them to innovate quickly and build new analytical applications for their business. In addition to technology assets, the acquisition also includes StackIQ's talented team of engineers, who will join Teradata's R&D organization to help accelerate the company's ability to automate software deployment in operations, engineering and end-user customer ecosystems. "Teradata prides itself on building and investing in solutions that make life easier for our customers," said Oliver Ratzesberger, Executive Vice President and Chief Product Officer for Teradata. "Only the best, most innovative and applicable technology is added to our ecosystem, and StackIQ delivers with products that excel in their field. Adding StackIQ technology to IntelliFlex, IntelliBase and IntelliCloud will strengthen our capabilities and enable Teradata to redefine how systems are deployed and managed globally." "Our incredibly high standards also apply to the people we hire," continued Ratzesberger. "As Teradata continues to expand its engineering (R&D) skills to drive ongoing technology innovation, we are seeking qualified, talented individuals to join our team. Once again, StackIQ has set the bar with stellar engineers who we are honored to now call Teradata employees." Under terms of the deal, Teradata will now own StackIQ's unique IP that automates and accelerates software deployment across large clusters of servers (both physical and virtual/in the cloud). This increase in automation will occur across all Teradata Everywhere deployments, dramatically reducing build and delivery times for complex business analytics solutions and adding the capability to manage software-only "appliances" across hybrid cloud infrastructure. The speed of Teradata's new integrated solution also allows for rapid re-provisioning of internal test or benchmarking hardware, as well as swift redeployment between technologies to match a customer's changing workload requirements. "Joining Teradata, the market leader in analytic data solutions, truly validates the importance of StackIQ's engineering and the talent we have cultivated over the years," said Tim McIntire, Co-Founder at StackIQ. "We are looking forward to bringing a bit of San Diego's start-up culture to Teradata, and working together to simplify Teradata's customer experience for system software deployment and upgrades."
