Data engineering is an essential part of successful big data analytics and data science.
Get the Data Engineering Starter Kit to learn how you can accelerate performance, streamline workflows, lower TCO, and deploy production data pipelines securely, reliably, and easily with Apache Spark™ and Databricks.
This kit includes these 5 guides to get you started:
- The Data Engineer's Guide to Apache Spark: An excerpt of our Definitive Guide to Apache Spark focusing on how data engineers can leverage Spark.
- Data Engineering with Databricks eBook: Learn how data engineers can securely build and manage production-quality data pipelines more efficiently and cost effectively with Spark and Databricks.
- Performance Benchmark of Big Data Platforms in the Cloud: An independent benchmark that compares processing speeds of Databricks Runtime vs. vanilla Spark on AWS, Presto on AWS, and Impala on-prem.
- How to Build Complex Data Pipelines: Explore how you can simplify analytics workflows from ingest to production in a unified platform with Spark and Databricks.
- How Kik reduced their Data Engineering efforts by 70%: Lessons from a leading mobile developer on how to reduce data engineering efforts by 70%.
Get the Data Engineering Starter Kit today!