Apache Spark Books



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Streaming Data

Streaming Data

by Andrew G. Psaltis

As humans, we're constantly filtering and deciphering the information streaming toward us. In the same way, streaming data applications can accomplish amazing tasks like reading live location data to recommend nearby services, tracking faults with machinery in real time, and sending digital receipts before your customers leave the shop. Recent advances in streaming data technology and techniques make it pos...

Price:  $25.00  |  Publisher:  Manning  |  Release:  2017

Big Data Analytics with Spark

Big Data Analytics with Spark

by Mohammed Guller

This book is a step-by-step guide for learning how to use Spark for different types of big-data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, MLlib, and Spark ML.Big Data Analytics with Spark shows you how to use Spark and leverage its easy-to-use feat...

Price:  $29.99  |  Publisher:  Apress  |  Release:  2016

Pro Spark Streaming

Pro Spark Streaming

by Zubair Nabi

Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming applications. This book walks you through end-to-end real-time application development using real-world applications, data, and code. Taking an application-first approach, each chapter introduces use cases from a specific industry and uses publicly available datasets from that doma...

Price:  $30.60  |  Publisher:  Apress  |  Release:  2016

Sams Teach Yourself Apache Spark in 24 Hours

Sams Teach Yourself Apache Spark in 24 Hours

by Jeffrey Aven

Apache Spark is a fast, scalable, and flexible open source distributed processing engine for big data systems and is one of the most active open source big data projects to date. In just 24 lessons of one hour or less, Sams Teach Yourself Apache Spark in 24 Hours helps you build practical Big Data solutions that leverage Spark's amazing speed, scalability, simplicity, and versatility.This book's straightfor...

Price:  $32.51  |  Publisher:  SAMS Publishing  |  Release:  2016

Scalable Big Data Architecture

Scalable Big Data Architecture

by Bahaaldine Azarmi

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance.Scalable Big Data Architecture covers real-world, concrete industry use cases that leverage complex distributed applications , which inv...

Price:  $26.91  |  Publisher:  Apress  |  Release:  2016

Cassandra: The Definitive Guide, 2nd Edition

Cassandra: The Definitive Guide, 2nd Edition

by Eben Hewitt, Jeff Carpenter

Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This expanded second edition - updated for Cassandra 3.0 - provides the technical details and practical examples you need to put this database to work in a production...

Price:  $28.24  |  Publisher:  O'Reilly Media  |  Release:  2016

Python Data Analysis Cookbook

Python Data Analysis Cookbook

by Ivan Idris

Data analysis is a rapidly evolving field and Python is a multi-paradigm programming language suitable for object-oriented application development and functional design patterns. As Python offers a range of tools and libraries for all purposes, it has slowly evolved as the primary language for data science, including topics on: data analysis, visualization, and machine learning.Python Data Analysis Cookbook...

Price:  $34.99  |  Publisher:  Packt Publishing  |  Release:  2016

Machine Learning with Spark

Machine Learning with Spark

by Nick Pentreath

Apache Spark is a framework for distributed computing that is designed from the ground up to be optimized for low latency tasks and in-memory data storage. It is one of the few frameworks for parallel computing that combines speed, scalability, in-memory processing, and fault tolerance with ease of programming and a flexible, expressive, and powerful API design.This book guides you through the basics of Spa...

Price:  $29.99  |  Publisher:  Packt Publishing  |  Release:  2015

Mastering Apache Spark

Mastering Apache Spark

by Mike Frampton

Apache Spark is an in-memory cluster based parallel processing system that provides a wide range of functionality like graph processing, machine learning, stream processing and SQL. It operates at unprecedented speeds, is easy to use and offers a rich set of data transformations.This book aims to take your limited knowledge of Spark to the next level by teaching you how to expand Spark functionality. The bo...

Price:  $35.25  |  Publisher:  Packt Publishing  |  Release:  2015

Fast Data Processing with Spark, 2nd Edition

Fast Data Processing with Spark, 2nd Edition

by Krishna Sankar, Holden Karau

Spark is a framework used for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does, but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and built-in tools for interactive query analysis (Spark SQL), large-scale graph processing and analysis (GraphX), and real-time analysis (Spark Streaming), it can be interactiv...

Price:  $29.99  |  Publisher:  Packt Publishing  |  Release:  2015

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