Optimizing Databricks Workloads
The book takes a hands-on approach to speeding up your Spark jobs and data processing by covering the implementation and associated methodologies that will have you up and running in no time. Developers working with Databricks and Spark will be able to put their knowledge to work with this practical guide to optimizing workloads.
Offered by
Difficulty Level
Intermediate
Completion Time
7h40m
Language
English
About Book
Who Is This Book 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.
Optimizing Databricks Workloads
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 7h40m total length
Discovering Databricks
Batch and Real-Time Processing in Databricks
Learning about Machine Learning and Graph Processing in Databricks
Managing Spark Clusters
Big Data Analytics
Databricks Delta Lake
Spark Core
Case Studies
Related Resources
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