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.
This course is part of the Data Science with Databricks for Data Analysts Specialization
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About this Course
Familiarity with SQL
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Ingest, transform, and query data to extract valuable insights.
Leverage existing SQL skills to start working with Apache Spark.
Skills you will gain
- Data Analysis
- Spark SQL
- SQL
Familiarity with SQL
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Welcome to Apache Spark SQL for Data Analysts
Spark makes big data easy
Using Spark SQL on Databricks
Spark Under the Hood
Reviews
- 5 stars67.37%
- 4 stars24.58%
- 3 stars5.43%
- 2 stars1.65%
- 1 star0.94%
TOP REVIEWS FROM APACHE SPARK (TM) SQL FOR DATA ANALYSTS
Riddled with spelling AND CODE errors, but was a great resource for improving my lacking SQL skills.
Course is good but lot of cleanup and errors need to be fixed. Final exam it self has incorrect questions. Also someone should be answering the questions raised by students in the forum.
Good for new data analysts who recently started with Databricks and have some experience with SQL.
Nice course. Kate Sullivan is a great teacher !
Coursera is really a high quality site.
About the Data Science with Databricks for Data Analysts Specialization

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