Cloudera Data Warehouse Provides Powerful Self-Service Analytics with Intelligent Resource Provisioning and Secure Access to Shared Enterprise Data Anywhere
PALO ALTO, Calif., September, 24, 2019 – Cloudera (NYSE: CLDR), the enterprise data cloud company, today launched Cloudera Data Warehouse, a cloud-native service that makes it fast and easy to deploy, self-service, enterprise analytics for teams of business analysts on the new Cloudera Data Platform (CDP). Cloudera Data Warehouse allows for quick deployment and easy administration of cloud data warehousing, seamlessly moving on-premise workloads to the cloud with consistent security and governance. It ingests data anywhere, at massive scale, from structured, unstructured, and edge sources, radically simplifying the data warehousing life cycle for IT and data analytics leaders.
Seamless data warehousing in hybrid multi-cloud.
“When you need answers to the biggest burning business questions, you need it now,” said Anupam Singh, CCO and GM of Data Warehouse at Cloudera. “With Cloudera Data Warehouse, there is no waiting. Hundreds of users can simply provision their own resources at the click of a button and analyze all data together, wherever it is on-premises or in the cloud, without breaking the bank, without breaking metadata and security, and lastly, without locking data into proprietary formats and silos. With Cloudera Data Warehouse, everyone has the freedom and power to get at the massive volumes of data they need for their modern, complex analytics, and deliver business insights at enterprise scale.”
Unlike previous cloud data warehouses, Cloudera Data Warehouse is offered with its foundation built on high-performance SQL engines that have been tested and proven in leading enterprises at unparalleled scale. Cloudera Data Warehouse enables IT to “Say Yes” to business analysts and all analytics users with capabilities that enable:
Cloudera Data Warehouse is fully integrated with the Cloudera Data Platform (CDP) including Cloudera Machine Learning and Data Hub, allowing for the fast delivery of new multi-function analytics and machine learning in any cloud. This makes it possible for businesses to build, manage, and scale intelligent applications fueled by data anywhere—from the Edge to AI. Cloudera Data Warehouse also fully capitalizes on the Shared Data Experience (SDX) provided by CDP. Cloudera SDX provides consistent data security, governance and control across all multi-function analytics, for safe, self-service access and discovery of data at enterprise scale.
For more information on Cloudera Data Warehouse on the Cloudera Data Platform, please click here.
Additional Resources
Shared Transactional Tables: The Foundation of Next Generation Big Data Warehousing
About Cloudera
At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the
world's largest enterprises. Learn more at Cloudera.com.
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This press release contains forward-looking statements including, among other things, statements regarding the expected performance and benefits of Cloudera’s offerings. The words "believe," "may," "will," "plan," "expect," and similar expressions are intended to identify forward-looking statements. These forward-looking statements are subject to risks, uncertainties, and assumptions. If the risks materialize or assumptions prove incorrect, actual results could differ materially from the results implied by these forward-looking statements. Risks include, but are not limited to, risks described in our filings with the Securities and Exchange Commission (SEC), including our quarterly and yearly reports that we file with the SEC from time to time, which could cause actual results to vary from expectations. Cloudera assumes no obligation to, and does not currently intend to, update any such forward-looking statements after the date of this release.
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