Hadoop Summit, now in its third year, is the leading conference for the Apache Hadoop community. The Apache Hadoop community project took its brands to Europe in April this year in Amsterdam. Hadoop Summit Conference in Amsterdam doubled its audience in a year, illustrating the growing interest in the framework in Europe and showcasing use cases, sharing development, education, networking opportunities and a vendor exhibition featuring the latest on Apache Hadoop.

Hortonworks and Yahoo! will now host the 7th Annual Hadoop Summit from June 3-5, 2014, at San Jose, California. The event, which sold out in two weeks, confirms the interest around the open source framework designed for distributed processing of very large volumes of data.

The three-day event will feature many of the Apache Hadoop thought leaders, including representitives from Red Hat, AT&T, Teradata Labs, and Yahoo! Presenters will demonstrate successful Hadoop and big data analysis use cases, share development and administration tips and tricks, Hadoop success in enterprise and much more.

Bringing DevOps to Hadoop

It’s now clear that Hadoop will play a key part of your future enterprise architecture. The big data market is predicted to be valued at $100bn by 2020, and half of this will be driven by Hadoop, according to estimates from analyst firm IDC. As Hadoop matures and increasingly becomes an integral part of business strategies, Hadoop applications are becoming business critical. Developers need the ability to run these critical applications in complex infrastructures and applications with large teams is becoming a challenge.

In this sense, Hadoop vendors are eliminating the need for separate operational and analytic environments, combining transaction integrity with breakthrough performance. This year conference is supported by thirty companies in the forefront which include Microsoft, Teradata, Informatica, BMC, Concurrent, SAS and SAP and others strongly committed behind Hortonworks Data Platform (HDP).

Informatica Corporation will debut Informatica Power Center Big Data Edition and Data Quality Big Data Edition running on the newly announced HDP 2.1 at Hadoop Summit 2014. The new tools will deliver a modern data architecture with a comprehensive set of enterprise Hadoop-based capabilities spanning data management, data access, data integration, data governance, security and operations.

Concurrent will deliver a talk on Cascading Pattern, a standards-based scoring engine that leverages the power of Cascading and enables analysts and data scientists to quickly deploy machine-scoring applications on Hadoop. Cascading Pattern based on Java API effectively lowers the barrier or adoption on Hadoop for developers using popular analytics frameworks, such as SAS, Microstrategy, SQL Server, etc.

MapR will showcase user cases on how businesses can begin to integrate operational data into their analytics clusters by architecting R into the storm application development process. The case will build a bridge from basic real-time business goals to technical design of solutions and will demonstrate how standard tools like R can produce applications quickly.

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