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Optimizing Databricks Workloads
book

Optimizing Databricks Workloads

by Anirudh Kala, Anshul Bhatnagar, Sarthak Sarbahi
December 2021
Intermediate to advanced
230 pages
4h 17m
English
Packt Publishing
Content preview from Optimizing Databricks Workloads

Chapter 1: Discovering Databricks

The original creators of Apache Spark established Databricks to solve the world's toughest data problems. Databricks was launched as a Spark-based unified data analytics platform in the cloud.

In this chapter, we will begin by understanding the internal architecture of Apache Spark™. This will be followed by an introduction to the basic components of Databricks. The following topics will be covered in this chapter:

  • Introducing Spark fundamentals
  • Introducing Databricks
  • Learning about Delta Lake

Technical requirements

For this chapter, you will need the following:

  • An Azure subscription
  • Azure Databricks

Please refer to the code sample from: Code samples from https://github.com/PacktPublishing/Optimizing-Databricks-Workload/tree/main/Chapter01 ...

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Publisher Resources

ISBN: 9781801819077