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Optimizing Databricks Workloads

You're reading from  Optimizing Databricks Workloads

Product type Book
Published in Dec 2021
Publisher Packt
ISBN-13 9781801819077
Pages 230 pages
Edition 1st Edition
Languages
Authors (3):
Anirudh Kala Anirudh Kala
Profile icon Anirudh Kala
Anshul Bhatnagar Anshul Bhatnagar
Profile icon Anshul Bhatnagar
Sarthak Sarbahi Sarthak Sarbahi
Profile icon Sarthak Sarbahi
View More author details

Table of Contents (13) Chapters

Preface Section 1: Introduction to Azure Databricks
Chapter 1: Discovering Databricks Chapter 2: Batch and Real-Time Processing in Databricks Chapter 3: Learning about Machine Learning and Graph Processing in Databricks Section 2: Optimization Techniques
Chapter 4: Managing Spark Clusters Chapter 5: Big Data Analytics Chapter 6: Databricks Delta Lake Chapter 7: Spark Core Section 3: Real-World Scenarios
Chapter 8: Case Studies Other Books You May Enjoy

Who this book is for

This book is for data engineers, data scientists, and cloud architects who have working knowledge of Spark/Databricks and some basic understanding of data engineering principles. Readers will need to have a working knowledge of Python, and some experience of SQL in PySpark and Spark SQL is beneficial.

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