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|Introduction to Data Science, with Introduction to R, Version 3
It also addresses the various skills required, the key steps in the Data Science process, software technology related to the effective practice of Data Science, and the best rising academic programs for training in the field.
Data Mining for the Masses
Have you ever found yourself working with a spreadsheet full of data and wishing you could make more sense of the numbers? Have you reviewed sales or operations reports, wondering if there�s a better way to anticipate your customers� needs? Perhaps you�ve even thought to yourself: There�s got to be more to these figures than what I�'m seeing!
Temporal Database Management
The book shows how to make the rich information content of bi-temporal data available to business users, while simplifying the design, maintenance and retrieval of that data. Metadata declarations eliminate the need to directly model temporal data. Temporal data maintenance is isolated in code that can be invoked to update bi-temporal data in any database and from any application program, across the enterprise. Anyone who can write queries against conventional data will be able to write queries against the bi-temporal data structures described in this book.
Master the higher-level languages and other features necessary to process data with HDInsight. Learn how to set up and manage HDInsight clusters on Azure, how to use Azure Blob Storage to store input and output data, connect with Microsoft BI, and much more. With the guidance of author James Beresford, HDInsight Succinctly will reveal a new avenue of data management.
Introducing Microsoft Azure HDInsight - Technical Overview
In Introducing Microsoft Azure HDInsight, we cover what big data really means, how you can use it to your advantage in your company or organization, and one of the services you can use to do that quickly�specifically, Microsoft�s HDInsight service.
Mining the Web: Discovering Knowledge from Hypertext Data
This is is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data. Building on an initial survey of infrastructural issues-including Web crawling and indexing.
A Programmer's Guide to Data Mining: The Ancient Art of the Numerati
Before you is a tool for learning basic data mining techniques. If you are a programmer interested in learning a bit about data mining you might be interested in a beginner's hands-on guide as a first step. That's what this book provides.
Data Compression Explained
Data compression is the art of reducing the number of bits needed to store or transmit data. Prior programming ability and some math skills will be needed.
Disruptive Possibilities: How Big Data Changes Everything
Internet-scale computing�popularly known as big data�has more disruptive potential than any information technology in the past 40 years. As author Jeffrey Needham points out in this eye-opening book, big data can provide unprecedented insight into user habits, giving enterprises a huge market advantage. It will also inspire organizations to change the way they function.
Mining the Social Web: Analyzing Data from Social Media Sites
Facebook, Twitter, LinkedIn, Google+, and other social web properties generate a wealth of valuable social data, but how can you tap into this data and discover who�s connecting with whom, which insights are lurking just beneath the surface, and what people are talking about?
Advanced Data Analysis from an Elementary Point of View
This is a textbook on data analysis methods, intended for advance undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression. It began as the lecture notes for 36-402 at Carnegie Mellon University.
Getting Started with Data Warehousing
This book is for enthusiasts of data warehousing who have limited exposure to databases and would like to learn data warehousing concepts end-to-end. Learn what Data Warehousing is all about and practice using hands-on exercises.