Partnership empowers organizations to easily capture and integrate complex data into data warehouse using Hadoop
Palo Alto, Calif. – Sept. 15, 2010 – Cloudera, a leading provider of Hadoop-based data management software and services, and Teradata Corporation (NYSE: TDC), the world’s largest company solely focused on data warehousing and enterprise analytics, today announced an agreement to connect Cloudera’s Distribution for Hadoop (CDH) to Teradata’s data warehouse, making it possible for customers to capture, integrate and analyze new sources of detailed data for deeper business insight.
Under the terms of the agreement, Cloudera and Teradata will work with common customers to build a two-way exchange of data between CDH and the data warehouse. Parallel processing frameworks have a natural affinity to parallel data warehouses – both are needed to handle massive amounts of data. Customers deploying both parallel technologies are inventing new applications and will enjoy a competitive advantage.
“Teradata customers are using Apache Hadoop as a method of processing primarily high volumes of unstructured data,” said Scott Gnau, chief development officer, Teradata. “It wasn’t long before my phone rang and those customers wanted to integrate these new insights into their data warehouses. Teradata Labs has been working on this, and our efforts led us to Cloudera.”
Customers are looking to Hadoop to provide an additional capability to their existing warehouses, giving them new analysis and storage functionality for complex data types. They realize that these technologies complement each other and fill specific needs within the datacenter for data storage and analysis.
“Our customers use Cloudera’s Distribution for Hadoop to sift through oceans of complex data in parallel. By integrating with the Teradata Database, those results can now be connected to customer profiles, financial metrics and operational insights to perform analyses that were previously not possible,” said Mike Olson, chief executive officer, Cloudera.“The market is demanding that these leading technologies be tightly integrated to support new storage and analysis requirements.”
The Teradata Connector will be bundled with Cloudera Enterprise and available at no additional cost. Cloudera will offer commercial support for the Teradata Connector as part of the Cloudera Enterprise subscription.
CDH is the most comprehensive and broadly adopted Hadoop-based platform on the market, lowering the barrier to Hadoop adoption by making it simple to install and easy to integrate into the datacenter. It consists of core Apache Hadoop and eight additional open source projects, all tested and integrated into a single platform, making it the most complete Hadoop-based distribution. For more information about CDH, visit http://www.cloudera.com/hadoop/.
Attend Hadoop World 2010 for additional examples of Hadoop in the enterprise.
Teradata Corporation (NYSE: TDC) is the world’s largest company solely focused on raising intelligence and achieving enterprise agility through its database software, enterprise data warehousing, data warehouse appliances, consulting, and enterprise analytics. Visit Teradata on the web at www.teradata.com.
Cloudera is revolutionizing enterprise data management by offering the first unified Platform for big data, an enterprise data hub built on Apache Hadoop. Cloudera offers enterprises one place to store, access, process, secure, and analyze all their data, empowering them to extend the value of existing investments while enabling fundamental new ways to derive value from their data. Cloudera's open source big data platform is the most widely adopted in the world, and Cloudera is the most prolific contributor to the open source Hadoop ecosystem. As the leading educator of Hadoop professionals, Cloudera has trained over 40,000 individuals worldwide. Over 1,700 partners and a seasoned professional services team help deliver greater time to value. Leading organizations in every industry plus top public sector organizations globally run Cloudera in production.
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