 |
|
|
|
Principles of Distributed Database Systems
The fourth edition of this classic textbook provides major updates. This edition has completely new chapters on Big Data Platforms (distributed storage systems, MapReduce, Spark, data stream processing, graph analytics) and on NoSQL, NewSQL and polystore systems. It also includes an updated web data management chapter that includes RDF ... | | Data Science from Scratch: First Principles with Python
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from... | | MongoDB Cookbook
Over 80 practical recipes to design, deploy, and administer MongoDB
About This Book
-
Gain a thorough understanding of some of the key features of MongoDB
-
Learn the techniques necessary to solve frequent MongoDB problems
-
Packed full of step-by-step recipes to help you with...
|
|
Data Science For Dummies
Discover how data science can help you gain in-depth insight into your business – the easy way!
Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles in organizations. Data Science For Dummies is the perfect starting point for IT professionals... | | Practical Data Analysis
Transform, model, and visualize your data through hands-on projects, developed in open source tools
Overview
-
Explore how to analyze your data in various innovative ways and turn them into insight
-
Learn to use the D3.js visualization tool for exploratory data analysis
- ...
| | |
|
HDInsight Essentials
Tap your unstructured Big Data and empower your business using the Hadoop distribution from Windows
Overview
-
Architect a Hadoop solution with a modular design for data collection, distributed processing, analysis, and reporting
-
Build a multi-node Hadoop cluster on Windows servers
... | | Hadoop Real World Solutions Cookbook
Ever felt you could use some no-nonsense, practical help when developing applications with Hadoop? Well, you've just found it. This real-world solutions cookbook is packed with handy recipes you can apply to your own everyday issues.
Overview
-
Solutions to common problems when working in the Hadoop...
| | Pro Apache Hadoop
Pro Apache Hadoop, Second Edition brings you up to speed on Hadoop – the framework of big data. Revised to cover Hadoop 2.0, the book covers the very latest developments such as YARN (aka MapReduce 2.0), new HDFS high-availability features, and increased scalability in the form of HDFS Federations. All the old content has been... |
|
| | Learning Mongoid
If you know MongoDB and Ruby, then Mongoid is a very handy tool to have at your disposal. Quickly learn to build Rails applications with the helpful code samples and instructions in this book.
Overview
-
A step-by-step guide that explains how to use Mongoid through lots of examples and code
- ...
| | Hadoop in Practice
Summary
Hadoop in Practice, Second Edition provides over 100 tested, instantly useful techniques that will help you conquer big data, using Hadoop. This revised new edition covers changes and new features in the Hadoop core architecture, including MapReduce 2. Brand new chapters cover YARN and integrating... |
|
|
| Result Page: 6 5 4 3 2 1 |
