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Concurrent, Inc. to Present at Big Data TechCon 2014

Alexis Roos to Deliver Two Sessions on How to Easily Develop Big Data Applications on Apache Hadoop(TM)

SAN FRANCISCO, CA -- (Marketwired) -- 03/25/14 -- Concurrent, Inc., the enterprise Big Data application platform company, today announced that Alexis Roos, senior solutions architect, will deliver two sessions at the third annual Big Data TechCon 2014, taking place March 31 - April 2 in Boston. This three-day event is the how-to Big Data training conference for professionals implementing and analyzing Big Data, and will feature practical tutorials for IT and Big Data professionals.

Concurrent Presentations At-A-Glance

What: "How to Build Enterprise Data Apps with Cascading"
Who: Alexis Roos, senior solutions architect, Concurrent, Inc.
When: Wednesday, April 2 at 2 p.m. EST
How: Register at http://bigdatatechcon.com/registrationdetails.html

Session Description
Cascading is the most popular application development framework for building enterprise-grade data applications on Apache Hadoop. This open source development framework allows developers to leverage their existing skillsets, such as Java and SQL, to create reliable applications without having to think in MapReduce. In this presentation, Alexis will give an introduction to Cascading, how it works and then dive into building applications with Cascading. Attendees will learn what types of use cases exist for data-driven businesses, how to approach them with Cascading and its vast ecosystems, and the best practices for Cascading application development.

What: "Cascading Lingual Shows How SQL Can Save Your On-and-Off Relationship with Hadoop"
Who: Alexis Roos, senior solutions architect, Concurrent, Inc.
When: Wednesday, April 2 at 3:45 p.m. EST
How: Register at http://bigdatatechcon.com/registrationdetails.html

Session Description
With Hadoop, life is complicated. It's a give-and-take relationship where you constantly want to migrate workloads onto Hadoop for processing but also want to get data off for reporting and analysis. These scenarios can be tricky and will often complicate your relationship with Hadoop. However, SQL is the therapy that will help. This class will introduce Cascading Lingual, an open-source project that provides ANSI-compatible SQL, enabling fast and simple Big Data application development on Hadoop. Alexis will demonstrate how Cascading Lingual can be used with various tools like R and desktop applications to drive improved execution on Big Data strategies by leveraging existing in-house resources, skills sets and product investments. Attendees will learn how data scientists and developers can now easily work with data stored on Hadoop using their favorite BI tool.

About the Speaker
Alexis Roos is a senior solutions architect focusing on Big Data solutions at Concurrent, Inc. He has more than 18 years of experience in software and sales engineering, helping both Fortune 500 firms and startups build new products that leverage Big Data, application infrastructure, security, databases and mobile technologies. Prior, Alexis worked for Sun Microsystems and Oracle for more than 13 years, as well as Couchbase and several large systems integrators in Europe.

Supporting Resources

About Concurrent, Inc.
Concurrent, Inc. delivers the #1 application development platform for Big Data applications. Concurrent builds application infrastructure products that are designed to help enterprises create, deploy, run and manage data applications at scale on Apache Hadoop™.

Concurrent is the team behind Cascading™, the most widely used and deployed technology for Big Data applications with more than 150,000+ user downloads a month. Used by thousands of businesses including Twitter, eBay, The Climate Corp and Etsy, Cascading is the de-facto standard in open source application infrastructure technology.

Concurrent is headquartered in San Francisco and online at http://concurrentinc.com.

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Media Contact
Danielle Salvato-Earl
Kulesa Faul for Concurrent, Inc.
(650) 922-7287
Email Contact

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