Apache Spark™ Programming with Databricks

In this course, you will explore the fundamentals of Apache Spark and Delta Lake on Databricks. You will learn the architectural components of Spark, the DataFrame and Structured Streaming APIs, and how Delta Lake can improve your data pipelines. Lastly, you will execute streaming queries to process streaming data and understand the advantages of using Delta Lake.

Skill Level

Associate

Duration

12h

Prerequisites

Familiarity with Python and basic programming concepts, including data types, lists, dictionaries, variables, functions, loops, conditional statements, exception handling, accessing classes, and using third-party libraries
Basic knowledge of SQL, including writing queries using SELECT, WHERE, GROUP BY, ORDER BY, LIMIT, and JOIN

Outline

Day 1

Spark overview
Databricks platform overview
SparkSQL
DataFrame reader, writer, transformation, and aggregation
Datetimes
Complex types

Day 2

User-defined functions (UDFs) and vectorized UDFs
Spark internals
Query optimization
Partitioning
Streaming API
Delta Lake

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