Apache Spark is one of the most widely used technologies in big data analytics. In this course, you will learn how to leverage your existing SQL skills to start working with Spark immediately. You will also learn how to work with Delta Lake, a highly performant, open-source storage layer that brings reliability to data lakes. By the end of this course, you will be able to use Spark SQL and Delta Lake to ingest, transform, and query data to extract valuable insights that can be shared with your team.
Apache Spark (TM) SQL for Data Analysts
This course is part of Data Science with Databricks for Data Analysts Specialization
Taught in English
Some content may not be translated
Instructor: Kate Sullivan
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What you'll learn
Ingest, transform, and query data to extract valuable insights.
Leverage existing SQL skills to start working with Apache Spark.
Skills you'll gain
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There are 9 modules in this course
An introduction to this course including learning objectives, frequently asked questions, and a chance to get to know fellow classmates.
What's included
1 video1 reading1 quiz1 discussion prompt
What's included
6 videos1 quiz1 discussion prompt
What's included
9 videos4 readings2 quizzes
What's included
7 videos1 quiz
What's included
5 videos3 readings2 quizzes
What's included
7 videos4 readings2 quizzes
What's included
5 videos4 readings
What's included
5 videos4 readings1 quiz
What's included
1 reading1 quiz
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