Big data engineer certification: Simplify it with Databricks
The Databricks Lakehouse Platform combines data lakes and data warehouses to create an end-to-end platform for data analysis and processing. Designed to make big data easier to use, it helps simplify tech stacks and remove data silos.
Consisting of a hosted platform (Databricks Platform) and a workspace (Databricks Workspace), Databricks is built around Apache Spark — which allows developers, data scientists and data engineers to implement their entire pipeline in one system.
As you’d expect, Databricks offers a learning path and certification that’s specific to Spark:
Databricks Certified Associate Developer for Apache Spark
To become a certified Associate Developer for Apache Spark, you can take an exam that assesses your understanding of the Spark architecture. This certification proves you can apply the Spark DataFrame API to complete basic data manipulation tasks, including selecting, renaming and manipulating columns, and working with Spark SQL functions.
Databricks offers instructor-led or self-paced courses to prepare you for this exam. You’ll explore the fundamentals of Apache Spark and Delta Lake on Databricks, and learn the architectural components of Spark, the DataFrame and Structured Streaming APIs.
Learn more at Databricks Academy