Enterprise-ready Big Data analytics requires a scalable, integrated architecture that combines fast, intuitive visualizations with a reliable, robust and highly available data platform. MapR's Apache Hadoop distribution delivers on the promise to provide an enterprise-grade solution that supports a broad set of mission-critical production use cases. MapR brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified distribution for Hadoop. Together, MapReduce and Tableau enable fast self-service analytics against complex datasets for the entire organization.
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Big answers to Big Data questions
Tableau works together with MapR to provide fast analytics, visualizations, and rapid-fire business intelligence on data of any size, format or subject.
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Using Apache Drill with Tableau
The powerful combination of Apache Drill and Tableau enables you to easily and directly work with various data formats and sources. Follow this step-by-step guide to connect Tableau to Drill today.
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Learn more about MapR, Hadoop, and Tableau
MapR goes hand-in-hand with Hadoop, enabling analysts to store, process, and analyze petabytes of information. Tableau empowers business users to leverage MapR to quickly and easily find valuable insights in vast Hadoop datasets.
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