 |
|
|
|
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... | | Data Algorithms: Recipes for Scaling Up with Hadoop and Spark
If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as... | | Beginning Apache Cassandra Development
Beginning Apache Cassandra Development introduces you to one of the most robust and best-performing NoSQL database platforms on the planet. Apache Cassandra is a document database following the JSON document model. It is specifically designed to manage large amounts of data across many commodity servers without there being any single... |
|
Machine Learning in Action
After college I went to work for Intel in California and mainland China. Originally my plan was to go back to grad school after two years, but time flies when you are having fun, and two years turned into six. I realized I had to go back at that point, and I didn’t want to do night school or online learning, I wanted to sit on... | | Big Data Glossary
To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL databases and MapReduce approaches to machine learning and visualization tools. Descriptions are based on first-hand experience with these tools in a production environment.
This handy... | | Data-Intensive Text Processing with MapReduce
Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms... |
|
Hadoop Operations and Cluster Management Cookbook
We are facing an avalanche of data. The unstructured data we gather can contain many insights that could hold the key to business success or failure. Harnessing the ability to analyze and process this data with Hadoop is one of the most highly sought after skills in today's job market. Hadoop, by combining the computing and storage powers... | | MongoDB and PHP
Once every decade or so, a technology comes along that is so revolutionary that it
fundamentally alters the way we approach everything we do. The world itself has
changed. As I think back to 1995 when I first started developing Internet applications,
our data needs were relatively simple. For the next 10 years, ... | | 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...
|
|
|
| Result Page: 6 5 4 3 2 1 |
