Have a personal or library account? Click to login
Optimizing Databricks Workloads: Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads Cover

Optimizing Databricks Workloads: Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads

Paid access
|Dec 2021
Table of contents

Table of Contents

  1. Discovering Databricks
  2. Batch and Real-Time Processing in Databricks
  3. Learning about Machine Learning and Graph Processing in Databricks
  4. Managing Spark Clusters
  5. Big Data Analytics
  6. Databricks Delta Lake
  7. Spark Core
  8. Case Studies

PDF preview is not available for this content.

PDF ISBN: 978-1-80181-192-7
Publisher: Packt Publishing Limited
Copyright owner: © 2021 Packt Publishing Limited
Publication date: 2021
Language: English
Pages: 230
Optimizing Databricks Workloads