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How to deploy Apache Spark in a multi-tenant, on-premises environmentBlueData, Inc.
Adoption of Apache Spark in the enterprise is increasing rapidly - it's become one of the fastest growing and most popular technologies in the Big Data ecosystem.
However, implementing an enterprise-ready, on-premises Spark deployment can be very complex and it requires expertise that is generally not available to all.
BlueData makes it easier to deploy Apache Spark on-premises. With BlueData, you can spin up virtual Spark clusters within minutes – providing secure, self-service, on-demand access to Big Data analytics and infrastructure. You can deploy Spark in standalone mode or with Hadoop / YARN. You can also build analytical pipelines and create Spark clusters using our RESTful APIs, and use web-based Zeppelin notebooks for interactive data analytics.
BlueData’s software platform leverages virtualization and Docker containers – combined with our own patent-pending innovations – to make it faster, and more cost-effective for enterprises to get up and running with a multi-tenant Spark deployment on-premises.
Learn more at www.bluedata.com