by Gwen Shapira, Neha Narkhede, Todd Palino
Every enterprise application creates data, whether it's log messages, metrics, user activity, outgoing messages, or something else. And how to move all of this data becomes nearly as important as the data itself. If you're an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-tim...
Price: $17.00 | Publisher: O'Reilly Media | Release: 2017
Practical Statistics for Data Scientists 
by Peter Bruce, Andrew Bruce
Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many...
Price: $27.49 | Publisher: O'Reilly Media | Release: 2017
by Zoiner Tejada
Microsoft Azure has over 20 platform-as-a-service (PaaS) offerings that can act in support of a big data analytics solution. So which one is right for your project? This practical book helps you understand the breadth of Azure services by organizing them into a reference framework you can use when crafting your own big data analytics solution.You'll not only be able to determine which service best fits...
Price: $22.99 | Publisher: O'Reilly Media | Release: 2017
by Matt Bailey
Traditional Linux server distributions include every component required for anything you might be hosting, most of which you don't need if you've containerized your apps and services. CoreOS Container Linux is a bare-bones distro with only the essential bits needed to run containers like Docker. Container Linux is a fast, secure base layer for any container-centric distributed application, includi...
Price: $13.49 | Publisher: Manning | Release: 2017
Practical Programming, 3rd Edition
by Paul Gries, Jennifer Campbell, Jason Montojo
No programming experience required! Incremental examples show you the steps and missteps that happen while developing programs, so you know what to expect when you tackle a problem on your own. Inspired by "How to Design Programs" (HtDP), discover a five-step recipe for designing functions, which helps you learn the concepts - and becomes an integral part of writing programs.In this detailed intro...
Price: $38.49 | Publisher: The Pragmatic Programmers | Release: 2017
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
Next Generation Databases: NoSQL, NewSQL, and Big Data
by Guy Harrison
This is a book for enterprise architects, database administrators, and developers who need to understand the latest developments in database technologies. It is the book to help you choose the correct database technology at a time when concepts such as Big Data, NoSQL and NewSQL are making what used to be an easy choice into a complex decision with significant implications.The relational database (RDBMS) mo...
Price: $30.80 | Publisher: Apress | Release: 2016
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
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
by Benoy Antony, Konstantin Boudnik, Cheryl Adams, Branky Shao, Cazen Lee, Kai Sasaki
Professional Hadoop is the complete reference and resource for experienced developers looking to employ Apache Hadoop in real-world settings. Written by an expert team of certified Hadoop developers, committers, and Summit speakers, this book details every key aspect of Hadoop technology to enable optimal processing of large data sets. Designed expressly for the professional developer, this book skips over ...
Price: $34.32 | Publisher: Wrox | Release: 2016