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Databricks Certified Associate Developer for Apache Spark Using Python

You're reading from   Databricks Certified Associate Developer for Apache Spark Using Python The ultimate guide to getting certified in Apache Spark using practical examples with Python

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781804619780
Length 274 pages
Edition 1st Edition
Languages
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Author (1):
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Saba Shah Saba Shah
Author Profile Icon Saba Shah
Saba Shah
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Exam Overview
2. Chapter 1: Overview of the Certification Guide and Exam FREE CHAPTER 3. Part 2: Introducing Spark
4. Chapter 2: Understanding Apache Spark and Its Applications 5. Chapter 3: Spark Architecture and Transformations 6. Part 3: Spark Operations
7. Chapter 4: Spark DataFrames and their Operations 8. Chapter 5: Advanced Operations and Optimizations in Spark 9. Chapter 6: SQL Queries in Spark 10. Part 4: Spark Applications
11. Chapter 7: Structured Streaming in Spark 12. Chapter 8: Machine Learning with Spark ML 13. Part 5: Mock Papers
14. Chapter 9: Mock Test 1
15. Chapter 10: Mock Test 2
16. Index 17. Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

Symbols

.join() method

parameters 82

A

actions 43

operations 43

Adaptive Query Execution (AQE) 80, 100

benefits 100

cost-based optimization 101

key components 100

memory management and tuning 101

workflow 100

aggregation operations 126

combining 127, 128

aggregations 153

Apache Mesos 38

Apache Spark

Adaptive Query Execution (AQE) 100

architecture 33, 34

caching 112

Catalyst optimizer 98

coalescing 114

data-based optimizations 102

data shuffle, managing 106, 107

data skew, tackling 103, 105

data spills, managing 105

deployment modes 40, 41

execution flow 34, 35

features 20, 21

file problem, addressing 102

integration with 121

narrow transformations 110

optimizations 97, 98

partitioning 39, 40

...
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