Visual Intelligence
The visualization experts at Microsoft's Pragmatic Works have created a full-color, step-by-step guide to building specific types of visualizations. The book thoroughly covers the Microsoft toolset for data analysis and visualization, including Excel, and explores best practices for choosing a data visualization design, selecting tools from the Microsoft stack, and building a dynamic data visualization from start to finish. You'll examine different types of visualizations, their strengths and weaknesses, and when to use each one. ...
The visualization experts at Microsoft's Pragmatic Works have created a full-color, step-by-step guide to building specific types of visualizations. The book thoroughly covers the Microsoft toolset for data analysis and visualization, including Excel, and explores best practices for choosing a data visualization design, selecting tools from the Microsoft stack, and building a dynamic data visualization from start to finish. You'll examine different types of visualizations, their strengths and weaknesses, and when to use each one. ...
Problem Solving and Data Analysis Using Minitab
Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through key learning points and work through complex analyses. Exercises are featured at the end of each example so that the reader can be assured that they have understood the key learning points. ...
Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through key learning points and work through complex analyses. Exercises are featured at the end of each example so that the reader can be assured that they have understood the key learning points. ...
Analyzing the Analyzers
There has been intense excitement in recent years around activities labeled "data science," "big data," and "analytics." However, the lack of clarity around these terms and, particularly, around the skill sets and capabilities of their practitioners has led to inefficient communication between "data scientists" and the organizations requiring their services. This lack of clarity has frequently led to missed opportunities. To address this issue, we surveyed several hundred practitioners via the Web to explore the varieties of skills, experiences, and viewpoints in the emerging data science community. ...
There has been intense excitement in recent years around activities labeled "data science," "big data," and "analytics." However, the lack of clarity around these terms and, particularly, around the skill sets and capabilities of their practitioners has led to inefficient communication between "data scientists" and the organizations requiring their services. This lack of clarity has frequently led to missed opportunities. To address this issue, we surveyed several hundred practitioners via the Web to explore the varieties of skills, experiences, and viewpoints in the emerging data science community. ...
The Data Warehouse Toolkit, 3rd Edition
The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated dimensional modeling techniques, the most comprehensive collection ever. It covers new and enhanced star schema dimensional modeling patterns, adds two new chapters on ETL techniques, includes new and expanded business matrices for 12 case studies, and more. ...
The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated dimensional modeling techniques, the most comprehensive collection ever. It covers new and enhanced star schema dimensional modeling patterns, adds two new chapters on ETL techniques, includes new and expanded business matrices for 12 case studies, and more. ...
IBM Cognos 10 Framework Manager
IBM Cognos 10 Framework Manager is a complete practical guide to using and getting the best out of this essential tool for modeling your data for use with IBM Cognos Business Intelligence Reporting. With its step-by-step approach, this book is suitable for anyone from a beginner to an expert, complete with tips and tricks for better data modeling. IBM Cognos 10 Framework Manager is a step by step tutorial-based guide; from importing your data to designing and improving your model, and creating your packages while working with other modelers, every step is presented in a logical process. ...
IBM Cognos 10 Framework Manager is a complete practical guide to using and getting the best out of this essential tool for modeling your data for use with IBM Cognos Business Intelligence Reporting. With its step-by-step approach, this book is suitable for anyone from a beginner to an expert, complete with tips and tricks for better data modeling. IBM Cognos 10 Framework Manager is a step by step tutorial-based guide; from importing your data to designing and improving your model, and creating your packages while working with other modelers, every step is presented in a logical process. ...
Learning Raphael JS Vector Graphics
Raphael is an exceptional library that makes drawing vector graphics in the browser straightforward. It boasts a large number of methods that facilitate drawing and animating graphics, allowing developers to create flexible, interactive web applications and data visualizations. Learning Raphael JS Vector Graphics takes you from being a complete vector graphics novice to an accomplished vector graphics developer. Packed with illustrations and code demos, this book covers a wide array of concepts and takes you through them by example. The Raphaël library is covered in detail and in the context of its real-world applicability. ...
Raphael is an exceptional library that makes drawing vector graphics in the browser straightforward. It boasts a large number of methods that facilitate drawing and animating graphics, allowing developers to create flexible, interactive web applications and data visualizations. Learning Raphael JS Vector Graphics takes you from being a complete vector graphics novice to an accomplished vector graphics developer. Packed with illustrations and code demos, this book covers a wide array of concepts and takes you through them by example. The Raphaël library is covered in detail and in the context of its real-world applicability. ...
Programming Drupal 7 Entities
Writing code for manipulating Drupal data has never been easier! Learn to dice and serve your data as you slowly peel back the layers of the Drupal entity onion. Next, expose your legacy local and remote data to take full advantage of Drupal's vast solution space. Programming Drupal 7 Entities is a practical, hands-on guide that provides you with a thorough knowledge of Drupal's entity paradigm and a number of clear step-by-step exercises, which will help you take advantage of the real power that is available when developing using entities. ...
Writing code for manipulating Drupal data has never been easier! Learn to dice and serve your data as you slowly peel back the layers of the Drupal entity onion. Next, expose your legacy local and remote data to take full advantage of Drupal's vast solution space. Programming Drupal 7 Entities is a practical, hands-on guide that provides you with a thorough knowledge of Drupal's entity paradigm and a number of clear step-by-step exercises, which will help you take advantage of the real power that is available when developing using entities. ...
Getting Started with Amazon Redshift
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service. It provides an excellent approach to analyzing all your data using your existing business intelligence tools. Getting Started with Amazon Redshift is an easy-to-read, descriptive guide that breaks down the complex topics of data warehousing and Amazon Redshift. You will learn the fundamentals of Redshift technology and how to implement your own Redshift cluster, through practical, real-world examples. This exciting new technology is a powerful tool in your arsenal of data management and this book is a must-have to implement and manage your next enterprise Data Warehouse. ...
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service. It provides an excellent approach to analyzing all your data using your existing business intelligence tools. Getting Started with Amazon Redshift is an easy-to-read, descriptive guide that breaks down the complex topics of data warehousing and Amazon Redshift. You will learn the fundamentals of Redshift technology and how to implement your own Redshift cluster, through practical, real-world examples. This exciting new technology is a powerful tool in your arsenal of data management and this book is a must-have to implement and manage your next enterprise Data Warehouse. ...
Real-Time Big Data Analytics
Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possible to get the results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results. Fortunately, we have the tools to deliver them. This report examines tools and technologies that are driving real-time big data analytics. ...
Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possible to get the results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results. Fortunately, we have the tools to deliver them. This report examines tools and technologies that are driving real-time big data analytics. ...
Python and HDF5
Gain hands-on experience with HDF5 for storing scientific data in Python. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes. Through real-world examples and practical exercises, you'll explore topics such as scientific datasets, hierarchically organized groups, user-defined metadata, and interoperable files. Examples are applicable for users of both Python 2 and Python 3. If you're familiar with the basics of Python data analysis, this is an ideal introduction to HDF5. ...
Gain hands-on experience with HDF5 for storing scientific data in Python. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes. Through real-world examples and practical exercises, you'll explore topics such as scientific datasets, hierarchically organized groups, user-defined metadata, and interoperable files. Examples are applicable for users of both Python 2 and Python 3. If you're familiar with the basics of Python data analysis, this is an ideal introduction to HDF5. ...