Complete Guide to Databricks for Data Engineering
Complete Guide to Databricks for Data Engineering
.MP4, AVC, 1152x720, 30 fps | English, AAC, 2 Ch | 6h 9m | 752 MB
Instructor: Deepak Goyal
.MP4, AVC, 1152x720, 30 fps | English, AAC, 2 Ch | 6h 9m | 752 MB
Instructor: Deepak Goyal
In this course, master Databricks to become an ace data engineer. Learn how to expertly debug, process, and analyze huge amounts of data and build scalable solutions as instructor Deepak Goyal guides you through a deep dive on how the Databricks platform works. Explore PySpark transformation and Spark SQL in Databricks, along with how to read and write a DataFrame in Databricks. Plus, learn about Delta Lake, join optimizations, notebook scheduling, cluster management, workflows, and more.
Learning objectives
- Learn how Databricks works end to end.
- Understand the Delta Lake in Databricks.
- Perform transformations in PySpark.
- Use Spark SQL in Databricks.
- Write DataFrames in PySpark.
- Understand cluster management in Databricks.
- Explore the Unity catalog in Databricks.
Complete Guide to Databricks for Data Engineering
