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Five Minute Briefing - Information Management
June 6, 2016

Five Minute Briefing - Information Management: June 6, 2016. A concise weekly report with key product news, market research and insight for data management professionals and IT executives.

News Flashes

Attunity Ltd. is partnering with Microsoft Corp. to enable faster and easier adoption of Microsoft SQL Server 2016. The partnership allows Microsoft to tap into Attunity Replicate's data replication and change data capture technologies to achieve "zero-downtime migrations" from systems such as Oracle and others to SQL Server 2016.

NoSQL database technology vendor Couchbase has introduced a new Couchbase Spark Connector. According to Couchbase, the new Spark connector will enable businesses to gain business insights faster, enabling them to deliver better customer experiences through web, mobile and IoT applications.

Today at Spark Summit, MapR Technologies is announcing a new enterprise-grade Apache Spark Distribution. "This is a Spark-focused distribution that combines Apache Spark with the real time, persistent, web-scale data layer of MapR," said Jack Norris, SVP, Data and Applications, MapR. The new Spark Distribution option for the MapR Converged Data Platform enables advanced analytics - including batch processing, machine learning, procedural SQL, and graph computation, and is a production-ready platform for Spark workloads on-premise and in the cloud.

At Spark Summit in San Francisco this week, Microsoft announced it is making a major commitment for Spark to power Microsoft's big data and analytics offerings including Cortana Intelligence Suite, Power BI, and Microsoft R Server.

SQL Server 2016 became generally available on June 1, as scheduled previously by Microsoft. Described as the "biggest leap forward in Microsoft data platform history" in a Microsoft Developer Network blog, the new release provides improvements in real-time operational analytics, visualizations on mobile devices, analytics, as well as new security technology and hybrid cloud scenarios.

Teradata has introduced the Teradata Aster Connector for Spark, an integration of Apache Spark analytics with Teradata Aster Analytics. The connector enables pre-built analytics functions from both solutions to be executed from Aster Analytics, enabling anyone who can use Aster Analytics to also run advanced analytics on Spark without the need to learn or know Scala.