What you’ll learn
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Databricks Certified Associate Developer for Apache Spark exam details
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Setting up Databricks Platform for practice to also to prepare for Databricks Certified Associate Developer for Apache Spark Exam
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Selecting, renaming and manipulating columns using Spark Data Frame APIs
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Filtering, dropping, sorting, and aggregating rows using Spark Data Frame APIs
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Joining, reading, writing and partitioning DataFrames using Spark Data Frame APIs
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Working with UDFs and Spark SQL functions using Spark Data Frame APIs
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Spark Architecture and Adaptive Query Execution (AQE)
Who this course is for:
- Python Developers or Data Engineers aspiring to get better understanding of Spark Data Frame APIs and also to prepare for Databricks Certified Associate Developer for Apache Spark Exam
- Python Developers or Data Engineers preparing for Databricks Certified Associate Developer for Apache Spark
- Data Engineers who would like to learn more about using Spark on Databricks Platform also to prepare for Databricks Certified Associate Developer for Apache Spark Exam
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