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Key benefits

Understand the fundamentals of Apache Spark to design robust and fast Spark applications

Explore various data manipulation components for each phase of your data engineering project

Prepare for the certification exam with sample questions and mock exams

Purchase of the print or Kindle book includes a free PDF eBook

Description

Spark has become a de facto standard for big data processing. Migrating data processing to Spark saves resources, streamlines your business focus, and modernizes workloads, creating new business opportunities through Spark’s advanced capabilities. Written by a senior solutions architect at Databricks, with experience in leading data science and data engineering teams in Fortune 500s as well as startups, this book is your exhaustive guide to achieving the Databricks Certified Associate Developer for Apache Spark certification on your first attempt. You’ll explore the core components of Apache Spark, its architecture, and its optimization, while familiarizing yourself with the Spark DataFrame API and its components needed for data manipulation. You’ll also 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 gain enough understanding of Spark and its tools to pass the exam. You’ll also be able to apply this knowledge in a real-world setting and take your skillset to the next level.

Who is this book for?

This book is for data professionals such as data engineers, data analysts, BI developers, and data scientists looking for a comprehensive resource to achieve Databricks Certified Associate Developer certification, as well as for individuals who want to venture into the world of big data and data engineering. Although working knowledge of Python is required, no prior knowledge of Spark is necessary. Additionally, experience with Pyspark will be beneficial.

What you will learn

Create and manipulate SQL queries in Apache Spark

Build complex Spark functions using Spark's user-defined functions (UDFs)

Architect big data apps with Spark fundamentals for optimal design

Apply techniques to manipulate and optimize big data applications

Develop real-time or near-real-time applications using Spark Streaming

Work with Apache Spark for machine learning applications

What do you get with a Packt Subscription?

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50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.

Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.

Thousands of reference materials covering every tech concept you need to stay up to date.

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Frequently bought together

Databricks Certified Associate Developer for Apache Spark Using Python

$34.99

$49.99

Data Engineering with Databricks Cookbook

$49.99

Total $ 134.97

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Michael Thomsen Jul 23, 2024

Feefo Verified review

Kindle Customer Oct 06, 2024

Saba did a wonderful job creating this book. The material was very easy to digest and understand. I found the practical hands-on examples very helpful to follow along with in the Databricks Community Edition Notebooks. This aided in cementing my fundamental knowledge on sparks syntax. I recommend this book to anyone who is wanting to upskill in spark and test their knowledge by sitting for the exam.

Amazon Verified review

Alexander Sep 06, 2024

Thanks to this book I was able to clarify many concepts and I became certified

Raghu Kundurthi Jul 19, 2024

Proud & honored to present my review of The book "Databricks Certified Associate Developer for Apache Spark Using Python" , a 274 page that preps one to clear the "certification" and serves as a guide to build a successful career as a Databricks Apache Spark developer. A lucid explanation of the concepts of Apache Spark(pgs 13-31) for several audiences (Data/Business analysts, Data & ML engineers , Citizen Data Scientists(formerly SMEs/Power Users, Data Scientists) that empower anybody to be an effective data advocates. Through simple examples, the author nudges a reader to practice.The author rivets the reader to stay on target and prepare to win(exam and career)! "Type of questions section" has gainworthy points for a developer -not only preparing for the exam but also laying the foundation of building a career as a knowledge worker in the Apache Spark world.The author summarizes decades of SDLC coding patterns in 10 pages (51-61) under Spark Operations that introduce core Spark features. The sections "Spark Architecture and Transformations", Advanced Operations, ) are "treasure troves" to get into the weeds of Apache Spark.The sections in pgs 161-189 guides ML engineers to build ML Models experiments.The legion of SQL Users (the Select * folks) that span an entire organization , the Excel user, (Pivots,Data Modelers, Macro users) , BI Users , Business Analysts, SMEs, Power Users can focus on the Section "SQL Queries in Spark". The author has perhaps addressed this discerning gap of the most crucial audience that form a bridge between the geeks and gods who sign project funding checks (leaders).The abundance of learning material (~200 pgs) and the exam prep content (code & theoretical questions, 120 questions in two Mock tests) should make any novice clear the exam in one sitting!A seminal read for any individual to build a career as a Databricks Associate Apache Engineer Spark!A “must have” in the top shelf of your bookshelf ! Good luck & best wishes to clear the exam and launch an enriching career as a Databricks Apache Spark Developer! Godspeed to many more books on Databricks!

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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