Fiundamentals of Data Engineering

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers.

Learn key Data Engineering Skills such as SQL, Python and Spark with tons of Hands-on tasks and exercises

Learn key Data Engineering Skills such as SQL, Python, Apache Spark (Spark SQL and Pyspark) with Exercises and Projects

Build Data Engineering Pipelines using SQL, Python and Spark

Build Data Engineering Pipelines using Databricks core features such as Spark, Delta Lake, cloudFiles, etc.