Opening book details…
Can I read Apache Spark 2 for beginners develop large-scale distributed data processing applications using Spark 2 in Scala and Python on EtoBox?
Apache Spark 2 for beginners develop large-scale distributed data processing applications using Spark 2 in Scala and Python by Thottuvaikkatumana, Rajanarayanan is a book available to read on EtoBox.
What is Apache Spark 2 for beginners develop large-scale distributed data processing applications using Spark 2 in Scala and Python about?
Key Features This book offers an easy introduction to the Spark frameworkpublished on the latest version of Apache Spark 2 Perform efficient dataprocessing, machine learning and graph processing using various Sparkcomponents A practical guide aimed at beginners to get them up and runningwith Spark Book DescriptionSpark is one of the most widely-used large-scale data processing engines andruns extremely fast. It is a framework that has tools that are equally usefulfor application developers as well as data scientists.This book starts with the fundamentals of Spark 2 and covers the core dataprocessing framework and API, installation, and application development setup.Then the Spark programming model is introduced through real-world examplesfollowed by Spark SQL programming with DataFrames. An introduction to SparkRis covered next. Later, we cover the charting and plotting features of Pythonin conjunction with Spark data processing. After that, we take a look atSpark's stream processing, machine learning, and graph processing libraries.The last chapter combines all the skills you learned from the precedingchapters to develop a real-world Spark application.By the end of this book, you
- Author
- Thottuvaikkatumana, Rajanarayanan
- Publisher
- Packt Publishing - ebooks Account
- Published
- 2016
- Language
- EN
- ISBN
- 9781785885006
More by Thottuvaikkatumana, Rajanarayanan
Browse all works by Thottuvaikkatumana, Rajanarayanan
Similar books
- Apache Spark 2.x for Java Developers: Explore big data at scale using Apache Spark 2.x Java APIs — Gulati, Sourav, Kumar, Sumit (2017)
- Practical Apache Spark : Using the Scala API — Subhashini Chellappan; Bharat Dasa; Dharanitharan Ganesan; Apress L.P (2018)
- Mastering Apache Spark : Gain Expertise in Processing and Storing Data by Using Advanced Techniques with Apache Spark — Frampton, Mike; Szymanski, Andrew (2015)
- PySpark Cookbook: Over 60 Recipes for Implementing Big Data Processing and Analytics Using Apache Spark and Python (Packt) — Denny Lee Tomasz Drabas (2018)
- Introducing .NET for Apache Spark : Distributed Processing for Massive Datasets — Ed Elliott (2021)
- Large-Scale Graph Processing Using Apache Giraph — Sherif Sakr, Faisal Moeen Orakzai, Ibrahim Abdelaziz, Zuhair Khayyat (auth.) (2016)