Collaboration Supports Ever-Growing Cascading Community; Offers Services to Drive Further Business Value from Big Data Application Developments on Apache Hadoop
SAN FRANCISCO – Oct. 2, 2013 – Concurrent, Inc., the enterprise Big Data application platform company, today announced a new partnership with Think Big Analytics, a provider of data science and engineering services for Big Data and big analytics projects. Now, enterprises can leverage the power of the Cascading application framework and have access to the Think Big team of expert Big Data engineers, architects and data scientists to drive further business value from their Big Data deployments on Apache Hadoop™.
Enterprises are moving from Big Data as a project to being in the “business of data,” and are leveraging Cascading to process and analyze exponentially growing volumes of data. Big Data has broad reaching and significant untapped value for the enterprise.
While Cascading allows users to leverage existing skills and IT investments to instantly create and run Big Data applications on Hadoop, enterprises often require external support to integrate Cascading into their infrastructure. As a result, Concurrent partnered with Think Big, which is known for its strategic planning, implementation and training expertise. Think Big provides valuable expertise to execute a Big Data strategy quickly and with low risk. The Big Data consulting firm provides services that ensure enterprises have the right foundation in place to make the most of their Big Data strategies. Think Big will provide customized consulting and implementation services to support enterprises’ Big Data application deployments on Hadoop in order to maximize each project’s business value.
“In order to achieve Big Data breakthroughs, companies need to invest in both technology and people. Our partnership with Concurrent addresses both aspects as enterprises can tap into the power of the Cascading application framework while accessing the expertise and training of the Think Big team. After looking at other approaches, we’ve decided to support Cascading as it offers a proven solution for Big Data application development on Hadoop by solving real business problems at enterprise scale.”
-Ron Bodkin, Founder and CEO, Think Big Analytics
“Cascading is the most widely used and deployed application framework for building robust, enterprise Big Data applications. And, at Concurrent, we are committed to offering the best resources available to our ever-expanding user base. Our partnership with Think Big is a reflection of that commitment. Think Big offers invaluable support to our enterprise users and shares our mission of driving business differentiation through data.”
-Gary Nakamura, CEO of Concurrent, Inc.
- Cascading website: http://cascading.org
- Think Big Analytics website: http://thinkbiganalytics.com/
- Concurrent website: http://concurrentinc.com
- Contact us: http://concurrentinc.com/contact
- Follow us on Twitter: http://twitter.com/concurrent
About Think Big Analytics
Think Big Analytics is purpose-built to enable customers to create value from Big Data. The company provides data science and engineering services to assemble custom solutions that deliver business outcomes. Think Big collaborates with leaders to prioritize initiatives and generate value quickly with its proven Cornerstone Methodology (SM). The company was founded by former Quantcast and C-Bridge executives and is based in Mountain View, CA. For more information, visit www.thinkbiganalytics.com.
About Concurrent, Inc.
Concurrent, Inc. is the enterprise Big Data application platform company. Founded in 2008, Concurrent simplifies Big Data application development, deployment and management on Apache Hadoop. We are the company behind Cascading, the most widely used and deployed technology for building Big Data applications with more than 90,000 user downloads a month. Enterprises including Twitter, eBay, The Climate Corporation and Etsy all rely on Concurrent’s technology to drive their Big Data deployments. Concurrent is headquartered in San Francisco. Visit Concurrent online at http://concurrentinc.com.
Kulesa Faul for Concurrent, Inc.
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