Accelerating Real-Time Analytics with Spark

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As powerful as Spark can be, it remains a complex creature. To get the most out of Spark, it needs to be an integrated part of a broader, Hadoop-based data management platform, such as provided by Cloudera and Talend. By using open tools to connect, ingest, govern, secure and manage data, successful data science and real-time analytics projects become a reality.

Watch this on-demand webinar presented by Talend and Cloudera to learn:

  • Apache Spark, its architecture and benefits
  • Spark’s architecture, deployment strategies and use cases
  • Spark’s impact to data science, analytics and machine learning
  • How to move data scientists’ work to IT production
  • Best practices for large Spark deployments
  • How to master Spark’s complexity