Arduino Project Handbook, Volume 2 
by Mark Geddes
This second volume of the Arduino Project Handbook delivers 25 more beginner-friendly electronics projects. Get up and running with a crash course on the Arduino, and then pick any project that sparks your interest and start making!Each project includes cost and time estimates, simple instructions, colorful photos and circuit diagrams, a troubleshooting section, and the complete code to bring your build to ...
Price: $16.96 | Publisher: No Starch Press | Release: 2017
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 i...
Price: $25.00 | Publisher: Manning | Release: 2017
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
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: $21.98 | Publisher: Apress | Release: 2016
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 s...
Price: $32.51 | Publisher: SAMS Publishing | Release: 2016
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: $23.50 | Publisher: Apress | Release: 2016
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 ...
Price: $28.24 | Publisher: O'Reilly Media | Release: 2016
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
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: $34.99 | Publisher: Packt Publishing | Release: 2015
by Matei Zaharia, Holden Karau, Andy Konwinski, Patrick Wendell
Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, set...
Price: $32.23 | Publisher: O'Reilly Media | Release: 2015