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Optimizing Databricks Workloads Cover

Optimizing Databricks Workloads

Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads

Publisher:Packt Publishing Limited
By: Anirudh Kala,  Anshul Bhatnagar and  Sarthak Sarbahi  
Paid access
|Sep 2024
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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 ISBN: 978-1-80181-192-7
Publisher: Packt Publishing Limited
Copyright owner: © 2021 Packt Publishing Limited
Publication date: 2024
Language: English
Pages: 230
Related subjects:
Computer sciences,
Fundamentals of computer sciences

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