Apache Spark Quick Start Guide (eBook)

Quickly learn the art of writing efficient big data applications with Apache Spark
eBook Download: EPUB
2019
154 Seiten
Packt Publishing (Verlag)
978-1-78934-266-6 (ISBN)

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Apache Spark Quick Start Guide - Shrey Mehrotra, Akash Grade
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A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark.




Key Features



  • Learn about the core concepts and the latest developments in Apache Spark


  • Master writing efficient big data applications with Spark's built-in modules for SQL, Streaming, Machine Learning and Graph analysis


  • Get introduced to a variety of optimizations based on the actual experience



Book Description



Apache Spark is a flexible framework that allows processing of batch and real-time data. Its unified engine has made it quite popular for big data use cases. This book will help you to get started with Apache Spark 2.0 and write big data applications for a variety of use cases.






It will also introduce you to Apache Spark - one of the most popular Big Data processing frameworks. Although this book is intended to help you get started with Apache Spark, but it also focuses on explaining the core concepts.






This practical guide provides a quick start to the Spark 2.0 architecture and its components. It teaches you how to set up Spark on your local machine. As we move ahead, you will be introduced to resilient distributed datasets (RDDs) and DataFrame APIs, and their corresponding transformations and actions. Then, we move on to the life cycle of a Spark application and learn about the techniques used to debug slow-running applications. You will also go through Spark's built-in modules for SQL, streaming, machine learning, and graph analysis.






Finally, the book will lay out the best practices and optimization techniques that are key for writing efficient Spark applications. By the end of this book, you will have a sound fundamental understanding of the Apache Spark framework and you will be able to write and optimize Spark applications.





What you will learn



  • Learn core concepts such as RDDs, DataFrames, transformations, and more


  • Set up a Spark development environment


  • Choose the right APIs for your applications


  • Understand Spark's architecture and the execution flow of a Spark application


  • Explore built-in modules for SQL, streaming, ML, and graph analysis


  • Optimize your Spark job for better performance





Who this book is for



If you are a big data enthusiast and love processing huge amount of data, this book is for you. If you are data engineer and looking for the best optimization techniques for your Spark applications, then you will find this book helpful. This book also helps data scientists who want to implement their machine learning algorithms in Spark. You need to have a basic understanding of any one of the programming languages such as Scala, Python or Java.


A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark.Key FeaturesLearn about the core concepts and the latest developments in Apache SparkMaster writing efficient big data applications with Spark's built-in modules for SQL, Streaming, Machine Learning and Graph analysisGet introduced to a variety of optimizations based on the actual experienceBook DescriptionApache Spark is a flexible framework that allows processing of batch and real-time data. Its unified engine has made it quite popular for big data use cases. This book will help you to get started with Apache Spark 2.0 and write big data applications for a variety of use cases.It will also introduce you to Apache Spark - one of the most popular Big Data processing frameworks. Although this book is intended to help you get started with Apache Spark, but it also focuses on explaining the core concepts. This practical guide provides a quick start to the Spark 2.0 architecture and its components. It teaches you how to set up Spark on your local machine. As we move ahead, you will be introduced to resilient distributed datasets (RDDs) and DataFrame APIs, and their corresponding transformations and actions. Then, we move on to the life cycle of a Spark application and learn about the techniques used to debug slow-running applications. You will also go through Spark's built-in modules for SQL, streaming, machine learning, and graph analysis.Finally, the book will lay out the best practices and optimization techniques that are key for writing efficient Spark applications. By the end of this book, you will have a sound fundamental understanding of the Apache Spark framework and you will be able to write and optimize Spark applications.What you will learnLearn core concepts such as RDDs, DataFrames, transformations, and moreSet up a Spark development environmentChoose the right APIs for your applicationsUnderstand Spark's architecture and the execution flow of a Spark applicationExplore built-in modules for SQL, streaming, ML, and graph analysisOptimize your Spark job for better performanceWho this book is forIf you are a big data enthusiast and love processing huge amount of data, this book is for you. If you are data engineer and looking for the best optimization techniques for your Spark applications, then you will find this book helpful. This book also helps data scientists who want to implement their machine learning algorithms in Spark. You need to have a basic understanding of any one of the programming languages such as Scala, Python or Java.
Erscheint lt. Verlag 31.1.2019
Sprache englisch
Themenwelt Sachbuch/Ratgeber Freizeit / Hobby Sammeln / Sammlerkataloge
Mathematik / Informatik Informatik Theorie / Studium
Schlagworte Apache Spark • Big Data • DataFrames • Data Science • Datasets API • GraphX • interactive querying • MLib • RDD • Spark • Spark Cluster • Spark Core • SparkR • sparksql • Spark SQL • stream processing • structured data processing • structured streaming
ISBN-10 1-78934-266-X / 178934266X
ISBN-13 978-1-78934-266-6 / 9781789342666
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Dateiformat: EPUB (Electronic Publication)
EPUB ist ein offener Standard für eBooks und eignet sich besonders zur Darstellung von Belle­tristik und Sach­büchern. Der Fließ­text wird dynamisch an die Display- und Schrift­größe ange­passt. Auch für mobile Lese­geräte ist EPUB daher gut geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür die kostenlose Software Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür eine kostenlose App.
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Buying eBooks from abroad
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