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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

What is Apache Spark?

Apache Spark is an open-source big data framework that is used for multiple big data applications. The strength of Spark lies in its superior parallel processing capabilities that makes it a leader in its domain.

According to its website (https://spark.apache.org/), “The most widely-used engine for scalable computing.

The history of Apache Spark

Apache Spark started as a research project at the UC Berkeley AMPLab in 2009 and moved to an open source license in 2010. Later, in 2013, it came under the Apache Software Foundation (https://spark.apache.org/). It gained popularity after 2013, and today, it serves as a backbone for a large number of big data products across various Fortune 500 companies and has thousands of developers actively working on it.

Spark came into being because of limitations in the Hadoop MapReduce framework. MapReduce’s main premise was to read data from disk, distribute that data for parallel processing,...

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