Solving Four Big Problems in Data Engineering

Insights and tools from leading data teams to accelerate innovation

Learn how data engineers from four leading companies successfully solve ambitious big data challenges with Apache Spark and Databricks. Follow their journeys across ingesting data, building performant and reliable pipelines, and simplifying infrastructure management.

By developing a unified approach to big data analytics, each of these teams were empowered to deliver impressive business results. Learn how their innovative data teams:

  • Consolidated streaming ETL into a single location to reduce ETL by at least 4x.
  • Condense hundreds of terabytes of log data into a consumable report.

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