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

Product type Paperback

Published in Jun 2024

Publisher Packt

ISBN-13 9781804619780

Length 274 pages

Edition 1st Edition

Languages

Python

Tools

Apache Spark

Concepts

Data Engineering

Author (1):

Saba Shah

View More author details

Table of Contents (18) Chapters

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

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What are the Spark use cases?

In this section, we will learn about how Spark is used in the industry. There are various use cases of Spark prevalent today, some of which include big data processing, machine learning applications, near-real-time and real-time streaming, and using graph analytics.

Big data processing

One of the most popular use cases for Spark is big data processing. You might be wondering what big data is, so let’s take a look at the components that mark data as big data.

The first component of big data is the volume of data. By volume, we mean that the data is very large in size, often amounting to terabytes, petabytes, and beyond in some cases. Organizations have collected a large amount of data over the years. This data can be used for analysis. However, the first step in this activity is to process these large amounts of data. Also, it’s only recently that computing power has grown to now be able to process such vast volumes of data.

The...