Upgrading Apache Spark Data Reliability with Delta Lake

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ebook: Upgrading Apache Spark Data Reliability with Delta LakeApache Spark has become the de facto open source standard for big data processing for its ease of use and performance. The open source Delta Lake project improves Spark’s data reliability, with new capabilities like ACID transactions, Schema Enforcement, and Time Travel.

This helps to ensure that data lakes and data pipelines can deliver high quality and reliable data to downstream data teams for successful data analytics and machine learning projects.

This free ebook cover topics including:

  • Apache Spark’s usage for big data processing
  • The evolution and technical challenges around data lake architectures
  • Delta Lake’s capabilities ensuring reliable data for Spark processing
  • Simplifying architectures with unified batch and streaming