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Home > Data > Data Engineering > Databricks Certified Associate Developer for
Apache Spark Using Python


DATABRICKS CERTIFIED ASSOCIATE DEVELOPER FOR APACHE SPARK USING PYTHON: THE
ULTIMATE GUIDE TO GETTING CERTIFIED IN APACHE SPARK USING PRACTICAL EXAMPLES
WITH PYTHON

Profile Icon Saba Shah
By Saba Shah
$21.99 $31.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1
Ratings)
Book Jun 2024 274 pages 1st Edition
eBook
$21.99 $31.99
Print
$29.98 $39.99
Subscription
Free Trial
Renews at $19.99p/m
Profile Icon Saba Shah
By Saba Shah
$21.99 $31.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1
Ratings)
Book Jun 2024 274 pages 1st Edition
eBook
$21.99 $31.99
Print
$29.98 $39.99
Subscription
Free Trial
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eBook
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WHAT DO YOU GET WITH EBOOK?

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Table of content icon View table of contents Preview book icon Preview Book


DATABRICKS CERTIFIED ASSOCIATE DEVELOPER FOR APACHE SPARK USING PYTHON


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PAGE 1 OF 5

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Download code icon Download Code


KEY BENEFITS

 * Understand the fundamentals of Apache Spark to help you design robust and
   fast Spark applications
 * Delve into various data manipulation components for each phase of your data
   engineering project
 * Prepare for the certification exam with sample questions and mock exams, and
   get closer to your goal
 * Purchase of the print or Kindle book includes a free PDF eBook


DESCRIPTION

With extensive data being collected every second, computing power cannot keep up
with this pace of rapid growth. To make use of all the data, Spark has become a
de facto standard for big data processing. Migrating data processing to Spark
will not only help you save resources that will allow you to focus on your
business, but also enable you to modernize your workloads by leveraging the
capabilities of Spark and the modern technology stack for creating new business
opportunities. This book is a comprehensive guide that lets you explore the core
components of Apache Spark, its architecture, and its optimization. You’ll
become familiar with the Spark dataframe API and its components needed for data
manipulation. Next, you’ll find out what Spark streaming is and why it’s
important for modern data stacks, before learning about machine learning in
Spark and its different use cases. What’s more, you’ll discover sample questions
at the end of each section along with two mock exams to help you prepare for the
certification exam. By the end of this book, you’ll know what to expect in the
exam and how to pass it with enough understanding of Spark and its tools. You’ll
also be able to apply this knowledge in a real-world setting and take your
skillset to the next level.


WHAT YOU WILL LEARN

 * Create and manipulate SQL queries in Spark
 * Build complex Spark functions using Spark UDFs
 * Architect big data apps with Spark fundamentals for optimal design
 * Apply techniques to manipulate and optimize big data applications
 * Build real-time or near-real-time applications using Spark Streaming
 * Work with Apache Spark for machine learning applications


PRODUCT DETAILS

Country selected
Publication date, Length, Edition, Language, ISBN-13

Publication date : Jun 14, 2024
Length 274 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781804619780
Vendor :
Databricks
Category :
Data
Languages :
Python
Concepts :
Data Engineering
Tools :
Apache Spark


WHAT DO YOU GET WITH EBOOK?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced
features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now
ADD TO CART


PRODUCT DETAILS


Publication date : Jun 14, 2024
Length 274 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781804619780
Vendor :
Databricks
Category :
Data
Languages :
Python
Concepts :
Data Engineering
Tools :
Apache Spark


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TABLE OF CONTENTS

18 Chapters
Preface Chevron down icon Chevron up icon
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Conventions used
Get in touch
Share Your Thoughts
1. Part 1: Exam Overview Chevron down icon Chevron up icon
Part 1: Exam Overview
2. Chapter 1: Overview of the Certification Guide and Exam Chevron down icon
Chevron up icon
Chapter 1: Overview of the Certification Guide and Exam
Overview of the certification exam
Registering for your exam
Types of questions
Summary
3. Part 2: Introducing Spark Chevron down icon Chevron up icon
Part 2: Introducing Spark
4. Chapter 2: Understanding Apache Spark and Its Applications Chevron down icon
Chevron up icon
Chapter 2: Understanding Apache Spark and Its Applications
What is Apache Spark?
Why choose Apache Spark?
What are the Spark use cases?
Who are the Spark users?
Summary
Sample questions
5. Chapter 3: Spark Architecture and Transformations Chevron down icon Chevron
up icon
Chapter 3: Spark Architecture and Transformations
Spark architecture
Execution hierarchy
Spark components
Partitioning in Spark
Deployment modes
RDDs
Summary
Sample questions
6. Part 3: Spark Operations Chevron down icon Chevron up icon
Part 3: Spark Operations
7. Chapter 4: Spark DataFrames and their Operations Chevron down icon Chevron up
icon
Chapter 4: Spark DataFrames and their Operations
Getting Started in PySpark
Dataset API
DataFrame API
Creating DataFrame operations
How to view the DataFrames
Collecting the data
Converting a PySpark DataFrame to a Pandas DataFrame
How to manipulate data on rows and columns
Summary
Sample question
8. Chapter 5: Advanced Operations and Optimizations in Spark Chevron down icon
Chevron up icon
Chapter 5: Advanced Operations and Optimizations in Spark
Grouping data in Spark and different Spark joins
Joining DataFrames in Spark
Reading and writing data
Using SQL in Spark
UDFs in Apache Spark
Optimizations in Apache Spark
Data-based optimizations in Apache Spark
Narrow and wide transformations in Apache Spark
Persisting and caching in Apache Spark
Repartitioning and coalescing in Apache Spark
Summary
Sample questions
9. Chapter 6: SQL Queries in Spark Chevron down icon Chevron up icon
Chapter 6: SQL Queries in Spark
What is Spark SQL?
Getting started with Spark SQL
Advanced Spark SQL operations
Summary
Sample questions
10. Part 4: Spark Applications Chevron down icon Chevron up icon
Part 4: Spark Applications
11. Chapter 7: Structured Streaming in Spark Chevron down icon Chevron up icon
Chapter 7: Structured Streaming in Spark
Real-time data processing
What is streaming?
Streaming architectures
Introducing Spark Streaming
Introducing Structured Streaming
Streaming fundamentals
Structured Streaming concepts
Streaming sources and sinks
Advanced techniques in Structured Streaming
Different joins in Structured Streaming
Final thoughts and future developments
Summary
12. Chapter 8: Machine Learning with Spark ML Chevron down icon Chevron up icon
Chapter 8: Machine Learning with Spark ML
Introduction to ML
ML with Spark
ML life cycle
Problem statement
Case studies and real-world examples
Future trends in Spark ML and distributed ML
Summary
13. Part 5: Mock Papers Chevron down icon Chevron up icon
Part 5: Mock Papers
14. Chapter 9: Mock Test 1 Chevron down icon Chevron up icon
Questions
15. Chapter 10: Mock Test 2 Chevron down icon Chevron up icon
Questions
16. Index Chevron down icon Chevron up icon
Index
Why subscribe?
17. Other Books You May Enjoy Chevron down icon Chevron up icon
Other Books You May Enjoy
Packt is searching for authors like you
Share Your Thoughts
Download a free PDF copy of this book


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CUSTOMER REVIEWS


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ABOUT THE AUTHOR

Profile icon Saba Shah

Saba Shah is a Data and AI Architect and Evangelist with a wide technical
breadth and deep understanding of big data and machine learning technologies.
She has experience leading data science and data engineering teams in Fortune
500s as well as startups. She started her career as a software engineer but soon
transitioned to big data. She is currently a solutions architect at Databricks
and works with enterprises building their data strategy and helping them create
a vision for the future with machine learning and predictive analytics. Saba
graduated with a degree in Computer Science and later earned an MS degree in
Advanced Web Technologies. She is passionate about all things data and cricket.
She currently resides in RTP, NC.
Read more
See other products by Saba Shah
Get free access to Packt library with over 7500+ books and video courses for 7
days!
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