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Coursera

Apache Spark (TM) SQL for Data Analysts

Databricks via Coursera

Overview

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.

Syllabus

  • Welcome to Apache Spark SQL for Data Analysts
    • An introduction to this course including learning objectives, frequently asked questions, and a chance to get to know fellow classmates.
  • Spark makes big data easy
  • Using Spark SQL on Databricks
  • Spark Under the Hood
  • Complex Queries
  • Applied Spark SQL
  • Data Storage and Optimization
  • Delta Lake with Spark SQL
  • SQL Coding Challenges

Taught by

Kate Sullivan

Reviews

1.0 rating, based on 2 Class Central reviews

4.5 rating at Coursera based on 494 ratings

Start your review of Apache Spark (TM) SQL for Data Analysts

  • Anonymous
    The material is full of errors, words missed or typed twice. Obviously, it's never been proofread. There is no way to ask anyone a question; no way to talk to the tutor; no student forum. Right at the end is a test where you have to select code snippets but you can't run the code, there is no way to test it. What a weird course! I would not recommend.
  • Anonymous
    The pinnacle of the course is to take a 20 question exam where you are expected to select code snippets that meet the questions definition. Some are multiple choice and the rest are single answer. This is not a good test of the course material as many of questions were not covered in the course. Additionally, there is no sample data to test our your answers.

    Finally, it is filled with errors, for example it asks you to provide month year from a timestamp. Yet all the questions only have month and day. Good luck guessing which one they meant.

    Skip it. You'd be glad you did.

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