The Big eBook of Data Science and Engineering Use Cases

Insights and tools from leading data teams to accelerate innovation

Learn how data scientists and engineers from 8 leading companies - including Shell, MediaMath, McGraw Hill and Dollar Shave Club - successfully solve ambitious big data challenges with Apache Spark and Databricks. Follow their journeys across ingesting data, building performant and reliable pipelines, simplifying infrastructure management, and training machine learning models at scale.


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


This eBook showcases companies in competitive industries ranging from healthcare and adtech to education and ecommerce. Learn how their innovative data teams:


  • Reduced operational costs in support of a recommendation engine by 30%
  • Accelerated global inventory analysis from 48 hours to 45 minutes
  • Consolidated streaming ETL into a single location to reduce ETL by at least 4x

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