5 Hadoop Trends to Watch in 2017

#Hadoop is synonymous with #bigdata, providing both storage and processing resources for large and disparate data sources—not to mention a platform for third-party software vendors to build upon. Where will the distributed computing system go in 2017? Here are five macro trends impacting Hadoop to keep an eye out this year. Later this month, Hadoop will turn 11 years old. That’s an eternity in the IT biz. But will it be enough to slow the spread of adoption? 1. It Ain’t Dead Yet Rumors of Hadoop’s demise are greatly exaggerated, according to George Corugedo, CTO of data integration software vendor RedPoint Global. “Don’t be a Ha-dope!,” he declares. “For all those folks running around saying Hadoop is dead – they’re dead wrong.” Corguedo predicts that we’ll see increased adoption of Hadoop in 2017. “So far this year [2016], I haven’t talked to a single organization with a digital data platform who doesn’t see Hadoop at the center of their infrastructure. Hadoop is an assumed part of every modern data architecture and nobody can question the value it brings with its flexibility of data ingestion and its scalable computational power. Hadoop is not going to replace other databases but it will be an essential part of data ingestion in the IoT/digital world.”

There are some numbers to back up the claim that Hadoop usage is expanding, not shrinking. In a recent survey, AtScale, which develops a BI solution for Hadoop, found production deployments of Hadoop expanded from 64% of surveyed organizations in 2015 to 73% in 2016.

If the Hadoop distributors can address the data governance issues and the complexity of Hadoop sub-project integration, it could be a golden year for Hadoop. Kunal Agarwal, the CEO of Hadoop performance software vendor Unravel Data, sees a big year ahead for Hadoop and its in-memory sidekick Spark.

“[In 2016] we saw a complete shift in the way many enterprises viewed Hadoop and Spark,” Agarwal tells Datanami. “What was once thought of as an unstable platform is becoming the cornerstone of any company utilizing big data in their solutions.”

The folks at Infogix are similarly bullish on the yellow elephant. “More and more organizations will be adopting Hadoop and other big data stores, in turn, vendors will rapidly introduce new, innovative Hadoop solutions,” Infogix CEO and President Sumit Nijhawan says.

https://www.datanami.com/2017/01/06/5-hadoop-trends-to-watch-in-2017/

AtScale 5.0 – Modern Business Intelligence Platform, Enables BI on Hadoop, On Premises and Cloud

#AtScale, the company to provide enterprises with a fast and secure self-service #BI platform for #BigData, announced a significant expansion of its services, from BI on #Hadoop to BI on Big Data. With this announcement, the company introduces a Modern BI Platform that enables businesses to work seamlessly across all of Big Data, on premise and in the #Cloud. In addition to Hadoop, the AtScale platform now supports Teradata data warehouses and #Google #Dataproc and #BigQuery. This expands on the company’s existing support for #MicrosoftAzure and #HDInsight. AtScale redefines the modern Business Intelligence Platform to enable lightning fast, interactive and secure analytics on top of Big Data, without data movement and for any data consumer or BI tool.

http://insidebigdata.com/2016/12/18/atscale-5-0-delivers-the-industrys-first-modern-business-intelligence-platform-enables-bi-on-hadoop-and-big-data-on-premises-and-in-the-cloud/

Businesses eye cloud for big data deployments

As 2016 draws to a close, a new study suggests #bigdata is growing in maturity and surging in the cloud. #AtScale, which specializes in #BI on #Hadoop using #OLAP -like #cubes, recently conducted a survey of more than 2,550 #bigdataprofessionals at 1,400 companies across 77 countries. The survey was conducted in conjunction with #Cloudera, #Hortonworks, #MapR, #Cognizant, #Trifacta and #Tableau.

http://www.cio.com.au/article/611734/businesses-eye-cloud-big-data-deployments/?fp=16&fpid=1

AtScale announces Industry’s First “BI on Hadoop” Accelerator for Tableau

#AtScale, a company providing business users with fast and secure self-service BI on Hadoop, announced that it is partnering with #Tableau to deliver the industry’s first “BI on #Hadoop” accelerator to market with a special program for Tableau customers. This solution enables business users to run analytics on Hadoop at 100X the performance, with enterprise-grade security and without requiring I.T. departments to move, transform or sample data to make it available for analysis.

The solution for the industry’s next big opportunity

The “BI on Hadoop” accelerator solves a major market need as the first of its kind to bridge the gap between two massive markets coming together: the $20 billion Business Intelligence market and the $50 billion Big Data industry.

http://insidebigdata.com/2016/01/12/atscale-announces-industrys-first-bi-on-hadoop-accelerator-for-tableau/