The Addison-Wesley Data and Analytics Series

The Addison-Wesley Data and Analytics Series provides readers with practical knowledge for solving problems and answering questions with data. Titles in the series will tackle three primary areas of focus:

1)    Infrastructure: how to store, move, and manage data
2)    Algorithms: how to mine intelligence or make predictions based on data
3)    Visualizations: how to represent data and insights in a meaningful and compelling way

The series aims to tie all three of these areas together to help the reader build end-to-end systems for fighting spam, making recommendations, building personalization, detecting trends, patterns, or problems and gaining insight from the data exhaust of systems and user interactions.

 

Now Available

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference   Apache Hadoop YARN: Moving beyond MapReduce and Batch Processing with Apache Hadoop 2   R for Everyone: Advanced Analytics and Graphics   Practical Cassandra: A Developer's Approach to Cassandra
Data Just Right: Practical Big Data Analytics   Visual Storytelling with D3: An Introduction to Data Visualization in JavaScript   Hadoop 2 Quick-Start Guide: Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem   Expert Hadoop Administration: Managing, Tuning, and Securing Spark, YARN, and HDFS
Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale            
Working with Big Data LiveLessons (Video Training): Infrastructure, Algorithms, and Visualizations   Hadoop Fundamentals LiveLessons (Video Training)   R Programming LiveLessons, 2nd Edition   Fundamentals of Data Analytics in Python LiveLessons (Video Training)
Data Just Right LiveLessons   Apache Hadoop YARN LiveLessons (Video Training)   Advanced R LiveLessons, Part I: Tools for Greater Productivity and Machine Learning   Building Spark Applications LiveLessons
           
   

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