Toshiba Memory America Highlights Broad Range of SSD Application Solutions at Dell Technologies World

LAS VEGAS--(BUSINESS WIRE)--This week at Dell Technologies World 2018, Toshiba Memory America, Inc. (TMA), the U.S.-based subsidiary of Toshiba Memory Corporation, will be on hand to showcase its lineup of flash-based solid state drives (SSDs) and software to demonstrate server and storage application solutions. Toshiba Memory is once again a Diamond-level conference sponsor, and the two companies have been collaborating on storage solutions for nearly 20 years. Toshiba Memory products can be found in numerous Dell solutions across multiple business lines, including laptop/mobile computing, desktop, data center and enterprise servers/storage. “The digital transformation of the data center requires a modern high-performance infrastructure leveraging flash-based storage” Tweet this At Dell Technologies World, Toshiba Memory will highlight how its SSDs are optimizing a wide variety of Dell solutions. In addition, Toshiba Memory will demo the recently announced KumoScale™1 NVMe-oF™ (NVM Express™ over Fabrics) shared accelerated storage software and the company’s state-of-the-art 96-layer BiCS FLASH™ 3D memory. Demonstrations are located in Toshiba Memory’s booth #404 of the Dell Technologies Solutions Expo from April 30 through May 2, and include: Dell systems featuring Toshiba Memory SSDs: Dell EMC™ PowerEdge™ servers with vSAN, Dell EMC XC HCI appliances with Nutanix®, Dell EMC PowerEdge Servers with SQL Server and HammerDB (both Intel® and AMD based), Dell ESI (Extreme Scale Infrastructure) with SQL Server, HammerDB and Cassandra, and Dell EMC S2D (Microsoft Storage Spaces Direct Ready Node) with software defined storage. Toshiba Memory SSD and Flash products: enterprise SSDs, client SSDs, off module power loss protection technology (boot drive solution), self-encrypting SSDs (SED), and 96-Layer BiCS FLASH 3D Memory. KumoScale NVMe Over Fabrics shared accelerated storage software: KumoScale enables the use of NVMe-oF to make flash storage accessible over a data center network, providing a simple and flexible abstraction of physical disks into a pool of block storage, all while preserving the high performance of direct-attached NVMe SSDs. Toshiba Memory can also be found participating in sessions throughout the event. Steve Fingerhut, senior vice president and general manager, SSD and Cloud Software business units, will be introducing Guru Session speaker Andrew McAfee on Tuesday, May 1 at 3 p.m. In addition, Toshiba Memory will have breakout sessions at 1:30 p.m. on Monday, April 30 (Lido 3001A) and Tuesday, May 1 (Lando 4203). These sessions will be delivered jointly by Toshiba Memory’s Drew Tipton and Dell’s Jeff Armstrong, and will focus on security and self-encrypting drive solutions. “The digital transformation of the data center requires a modern high-performance infrastructure leveraging flash-based storage,” noted Steve Fingerhut. “Toshiba Memory is committed to providing leading technologies at cloud scale. We are proud to be a key SSD supplier to Dell, and excited to demonstrate our broad portfolio across their client, server and storage solutions at Dell Technologies World.”

https://www.businesswire.com/news/home/20180430005262/en/Toshiba-Memory-America-Highlights-Broad-Range-SSD

Principled Technologies Releases Study Comparing the Apache Cassandra Performance of a 14th Generation Dell EMC PowerEdge FC640 Solution to a Previous-Generation Solution

In hands-on testing, PT found that the Intel processor-powered #DellEMC #PowerEdge #FC640 solution handled significantly more operations per second for #Apache #Cassandra workloads compared to a legacy solution, while fitting into less rack space. DURHAM, N.C. (PRWEB) NOVEMBER 27, 2017 Organizations that want to run @Apache @Cassandra #databases in their private cloud can benefit from a robust infrastructure to power these workloads. Principled Technologies (PT) tested the Apache Cassandra performance of two @DellEMC PowerEdge FX2s chassis with four Dell EMC PowerEdge FC640 servers powered by @Intel Xeon Gold processors and FD332 storage (Dell EMC PowerEdge FC640 solution) vs. that of four Dell EMC PowerEdge R710 servers with onboard storage (legacy solution). According to the report, “this new [Dell EMC PowerEdge FC640] solution could dramatically outperform a previous-generation solution…while fitting into half the rack space. This means that with the Dell EMC PowerEdge FC640 solution, you could serve more end-user requests and potentially save on datacenter space-related expenses.”

To learn more about how private cloud infrastructures that run Apache Cassandra databases could benefit from the new Dell EMC PowerEdge FC640 solution, read the full report at http://facts.pt/VRDJLn and see the infographic at http://facts.pt/gSkqwd.

http://www.prweb.com/releases/2017/11/prweb14949763.htm

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.

http://publicistreport.com/technology-and-media/cloud-based-database-global-market-2017-salesforce-cassandra-sap-couchbase-mongodb-teradata.html

DriveScale and Dell EMC Expand Partnership to Provide Enterprise Solutions for Data Center Operators

SUNNYVALE, CA--(Marketwired - Sep 7, 2017) - #DriveScale, the leader in #SoftwareComposableInfrastructure ( #SCI ) for modern workloads, today announced that #DellEMC will resell DriveScale's solution to help customers dramatically improve the efficiency and agility of their data center infrastructure for cloud native applications. By offering DriveScale's SCI technology, Dell EMC can help meet the growing demand amongst its customer base for a more flexible architecture to run distributed workloads such as #Hadoop, #Cassandra and other scale-out systems. "Through this strategic partnership, DriveScale and Dell EMC will work toward a common goal of providing the enterprise with efficient and cost-effective infrastructure solutions," said Gene Banman, CEO of DriveScale. "By expanding our reach into the Dell EMC customer base, we are well-positioned to help combat resource over-provisioning in the data center and help new and existing customers scale their businesses. We are proud to partner with world-class technology solution providers like Dell EMC and look forward to creating new opportunities for the channel." Supporting Modern Workloads with Software Composable Infrastructure Modern workloads, such as Hadoop, NoSQL databases and other big data technologies, are dynamic and unpredictable, with data growing exponentially as enterprises find new ways to mine this information for business value. This has resulted in IT administrators struggling to correctly size physical infrastructure for each application or respond to changing workloads that are experiencing a spike in demand. DriveScale's unique SCI solution provides organizations with a next-generation data center architecture that treats hardware infrastructure as code -- delivering significant gains in efficiency and agility while lowering both equipment and operating costs. DriveScale's SCI solution allows data center administrators to disaggregate their infrastructure into separate pools of compute and storage resources, and quickly compose and re-compose them to meet the specific needs of a workload. IT teams can achieve higher utilization levels, reduce over-provisioning and respond much more quickly to changing business requirements. The DriveScale System does not require any changes to an existing application stack and delivers equivalent performance to a bare metal server with internal storage. Expanded Partnership with New Reseller Agreement Extends SCI to Dell EMC Customer Base Earlier this year, DriveScale joined the Dell EMC Tech Connect Program and was certified on Dell EMC PowerEdge Servers, Ethernet Switches and Direct Attached Storage. This new reseller agreement deepens the relationship between the two companies and provides customers with an easier path to manage big data in private and hybrid cloud environments. Recognized as a leader in Software Composable Infrastructure, DriveScale provides Dell EMC partners with a powerful addition to their data center offerings that enables their customers to meet the challenges of today's dynamic workloads. "We chose DriveScale as our solution because its software-defined approach helps us scale our data center quickly and easily while reducing resources trapped in siloed clusters," said Tim Smith, SVP of technical operations at AppNexus. "This expanded relationship between Dell EMC and DriveScale allows for a streamlined technology engagement with an efficient acquisition model." About DriveScale DriveScale is the leader in Software Composable Infrastructure for modern workloads. Our innovative data center solution empowers IT to disaggregate compute and storage resources and quickly and easily recompose them to meet the needs of the business. Enterprises can respond faster to changing application environments, maximize the efficiency of their assets, and save on equipment and operating expenses. DriveScale supports modern workloads such as Hadoop, Spark, Kafka, NoSQL, Cassandra, Docker, Kubernetes and other distributed applications at a fraction of the cost of alternative platforms. DriveScale, based in Sunnyvale, CA, is founded by technologists with deep roots in IT architecture that built enterprise-class systems for Cisco and Sun Microsystems. Investors include Pelion Venture Partners, Nautilus Venture Partners and Ingrasys, a wholly owned subsidiary of Foxconn. Visit www.drivescale.com or follow us on Twitter at @DriveScale_Inc.

http://m.marketwired.com/press-release/drivescale-dell-emc-expand-partnership-provide-enterprise-solutions-data-center-operators-2232829.htm

Blockchains for Big Data

#Bigdata arose in the early and mid 2000s to meet internet-scale computation needs: #ZooKeeper at #Yahoo, #BigTable and #MapReduce at #Google, #Cassandra at #Facebook; and so on. Then came open source projects like #Hadoop File System ( #HDFS ), Hadoop MapReduce, Cassandra, and more. By the late 2000s and early 2010s, startups like #MongoDB, #Cloudera, and #DataStax had created businesses to transform the open source successes into enterprise-grade offerings. Now, big data technology is quietly transforming every enterprise backend on the planet. For example, in many places “data warehouses” of relational databases are getting replaced by “data lakes” running big data software. More than $100B annually is going towards big iron compute clusters, the software on top, and the services to keep it all running smoothly. Big Data Challenges But big data has its challenges, which include control, data authenticity and monetization. First, who controls the infrastructure when there are multiple actors involved? For example: If you’re a multinational enterprise, how do you share data around the planet? If you have multiple copies, how do you know which one is the most up-to-date? How do you reconcile a different system administrator role at each regional office? If you’re an industry consortium, how to share control of the ecosystem infrastructure among the companies in your consortium? This is especially hard if those companies are competitors! Why can’t there be data just “out there” as a single shared source of truth that no one on the planet owns or controls, per se? Rather, data would be a public utility like electricity or the internet itself. Second, how well can you trust the data? For example: If you generate the data yourself, how do you prove you were the originator? If you get data from others, how do you know it was truly them? What about crashes and malicious behavior? Machines crash, glitches happen, bits flip. Zombie IoT toasters might be inputting garbage. So after all your fancy Spark calculations, is it still just garbage out? Finally, how do you monetize the data? For example: How do you transfer the rights of the data, or buy rights from others? There’s a long standing dream of a universal data marketplace; how? A New Tool For Big Data: Blockchain Technology The recent surge in blockchain technology was sparked by Bitcoin. Technically, all blockchains are simply databases, but databases with “blue ocean” benefits: decentralized / shared control, immutability / audit trails, and native assets / exchanges. By modern database standards, traditional blockchains have terrible scalability and don’t even have query languages; nonetheless, the blue ocean benefits were enough to capture the imagination of the globe. Better yet, more recent technology — the BigchainDB blockchain database— combines the benefits of distributed databases (scale, queryability) and blockchains (decentralized, immutable / audit trails, assets / exchanges). This new blockchain database technology has the scalability needed in big data environments, by building on top of best-in-class distributed databases like MongoDB. This unlocks the potential for highly interesting applications in big data: shared control of infrastructure, audit trails on data, and the possibility for a universal data exchange. Let’s explore both in detail. Shared Control of Big Data Infrastructure Summary. Being a blockchain database means that control of the database infrastructure is shared across the entities, whether within-enterprise, within a consortium, or across the planet. How. A big data blockchain database like BigchainDB is decentralized, which means that its control can be shared

http://bravenewcoin.com/news/blockchains-for-big-data/

VMware: Nutanix Content Pack for vRealize Log Insight

#Nutanix clusters include the #Prism management interface, which leverages services like #Cassandra, #Zookeeper, and #Stargate to provide a complete overview of its cluster. These services maintain logs which can be used to monitor the cluster. Nutanix converges compute and storage in a single node which can be easily scaled, can have Localized I/O and eliminates compute and storage silos as they are in the same node. Cluster Management Prism gives administrators the ability to deploy clusters for storage and virtualization within minutes, allowing them to quickly run applications. Prism allows users to manage and monitor objects and services across their Nutanix installation. Nutanix Content Pack collects and analyzes logs forwarded by Nutanix clusters, and provides visualization and in-depth analysis of log events. Highlights Nutanix events are filtered into 5 convenient dashboards that attempt to address the following usecases: Be alerted of increased disk latency Be alerted of network connectivity issues Identify if certain disks are involved in a large percentage of log events Be alerted of cluster reboots Read the entire article here, Nutanix Content Pack for vRealize Log Insight via the fine folks at VMware!
http://www.dabcc.com/vmware-nutanix-content-pack-for-vrealize-log-insight/

Dataguise DgSecure 6.0 Release Offers Sensitive Data Monitoring

#Dataguise has released Dataguise DgSecure 6.0, a monitoring solution for all data source types which allows users to detect, protect, and access sensitive data. #DgSecure provides the ability to discover, count, and report on sensitive data assets in real time wherever they live or move across data repositories, on premises and in the cloud. It’s a highly scalable and customizable solution, finding and summarizing sensitive data at the element level. The solution offers pre-defined templates for sensitive data types to build security policies, and build customized sensitive data elements through a regular expression (regex) pattern builder. DgSecure then combs through structured, semi-structured, or unstructured content (across databases, #Hadoop, #Teradata, #Cassandra, #NoSQL, files, and #SharePoint), and finds sensitive data. DgSecure’s Hadoop solution takes advantage of Hadoop’s parallel processing power, and works with all major Hadoop file types. The company support’s all major Hadoop distributions including #Cloudera, #Hortonworks, #MapR, #Pivotal, #Amazon EMR/S3 and #Microsoft #Azure #HDInsight.

https://appdevelopermagazine.com/4155/2016/7/9/Dataguise-DgSecure-6.0-Release-Offers-Sensitive-Data-Monitoring/

GridGain Professional Edition 1.6 Release Adds Native Support for Apache® Cassandra™

FOSTER CITY, CA--(Marketwired - Jun 29, 2016) -@GridGain Systems, provider of enterprise-grade In-Memory Data Fabric solutions based on #Apache® #Ignite™, today announced the availability of #GridGain Professional Edition 1.6, an in-memory computing platform enabling high-performance transactions that run 1,000x faster than disk-based approaches. The latest version adds native support for Apache® #Cassandra ™, a new ODBC driver, deadlock-free transactions, and the availability of a new hosted web management console. These features enable easy integration with data analytics tools, provide enhanced performance, offer access to a new web-based configuration and management tool for GridGain and Apache Ignite deployments, and add significant database performance improvement for Cassandra users.

With the addition of native support for Apache Cassandra, GridGain extends its native support for accelerating and scaling most popular SQL and NoSQL databases, as well as Apache® #Hadoop ®. Apache Cassandra is optimized to run simple, pre-defined queries on data stored on disk. It does not, however, include an in-memory computing option and does not support transactions. When combined with GridGain, Apache Cassandra users can:

See a 1,000x query speed improvement because data is uploaded from disk into RAMLeverage ANSI SQL-99 compliance to run ad hoc and structured queries with complete ODBC and JDBC supportUse full ACID compliant transactions to read and write data to their Cassandra databaseBenefit from built-in support for Apache® #Spark™, Apache Hadoop, and streaming applications

http://m.marketwired.com/press-release/gridgain-professional-edition-16-release-adds-native-support-for-apacher-cassandra-2138498.htm

What is Hadoop?

The rise of big data into an essential component of business strategy to modernise and better serve customers has in part been boosted by the appearance of Hadoop.

#Hadoop, the free Java-based programming framework, is designed to support the processing of large data sets in a distributed computing environment that is typically built from commodity hardware.

Hadoop is part of the #Apache Software Foundation, which supports the development of open-source software projects.

At its core, Hadoop consists of a storage part called the Hadoop Distributed File System (HDFS), and a processing part called #MapReduce.

Basically, Hadoop works by splitting large files into blocks which are then distributed across nodes in a cluster to be processed.

The base framework is made up of Hadoop Common, which contains libraries and utilities for other Hadoop modules; #HDFS, a distributed file system that stores data on commodity machines; #YARN, which works as a resource management platform; and MapReduce, which is for large scale data processing.

http://www.cbronline.com/news/big-data/software/what-is-hadoop-4904909

Open Source Tech Dominates Top Paying Skills

Cloud and Big Data tech skills still pay off the most, according to the latestsalary survey from careers site Dice.com, with open source technologies dominating the 2015 list.

Completely contrary to that notion, though, is the No. 1 top paying skill: #HANA, a proprietary in-memory platform for data analytics from #SAP. Listed in the "Databases" category, HANA skills provide the top average salary of $154,749.

Beyond that, though, the top 10 list is chock full of open source technologies, ranging from #OpenStack and #CloudStack in the "Cloud" category to a bevy of Big Data-related skills, such as #MapReduce, Pig, #Cassandra and #Cloudera.

The top 10 list is:

https://adtmag.com/articles/2016/01/26/dice-salary-survey.aspx?m=1