Course Description
In this 2-day Advanced Databricks Engineersing training course, students will build upon their existing knowledge of Apache Spark, Structured Streaming, and Delta Lake to unlock the full potential of the data lakehouse by utilizing the suite of tools provided by Databricks.
This course places a heavy emphasis on designs favoring incremental data processing, enabling systems optimized to continuously ingest and analyze ever-growing data. By designing workloads that leverage built-in platform optimizations, data engineers can reduce the burden of code maintenance and on-call emergencies, and quickly adapt production code to new demands with minimal refactoring or downtime.
Pre-requisites: Familiarity with simple SQL concepts and commands such as SELECT, FILTER, GROUPBY, JOIN, etc. Beginner-level experience with Python or Scala programming.
The topics in this course should be mastered prior to attempting the Databricks Certified Data Engineer Professional exam.
Course Summary
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Course Modules
- Spark Core and reading Spark UI
- Working on the Cloud Vendors and Version Control
- Automate Production Workflows
- Labs
Testimonials
Absolutely loved the enthusiasm and appreciate the knowledge he brought to class!!!
- Shelly Fruits, KPERS
“Instructor was very passionate about Databricks and helped me to stay engaged. Great pace, great knowledge, and the trainer was fantastic overall :) ”
- Emma Darling, Platform Engineer, Barclays Bank
“The Databricks Training was excellent”
- Spencer Martin, VP, Information Systems, RoyOMartin
