Data Smart: Using Data Science to Transform Information into Insight

eBook Details:

  • Paperback: 432 pages
  • Publisher: Wiley; 1st edition (November 4, 2013)
  • Language: English
  • ISBN-10: 111866146X
  • ISBN-13: 978-1118661468

eBook Description:

Data Smart: Using Data Science to Transform Information into Insight

Data Science gets thrown around in the press like it’s magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It’s a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. Data Science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart: Using Data Science to Transform Information into Insight, author and data scientist John Foreman will show you how that’s done within the familiar environment of a spreadsheet.

But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the “data scientist,” to extract this gold from your data? Nope. Not to disillusion you, but data scientists are not mystical practitioners of magical arts. Data Science is something you can do. Really. This book shows you the significant data science techniques, how they work, how to use them, and how they benefit your business, large or small. It’s not about coding or database technologies. It’s about turning raw data into insight you can act upon, and doing it as quickly and painlessly as possible.

Data Science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart: Using Data Science to Transform Information into Insight, author and data scientist John Foreman will show you how that’s done within the familiar environment of a spreadsheet. Data Science gets thrown around in the press like it’s magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It’s a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. FREE DOWNLOAD »

R for Everyone: Advanced Analytics and Graphics

eBook Details:

  • Paperback: 464 pages
  • Publisher: Addison-Wesley Professional; 1st edition (December 29, 2013)
  • Language: English
  • ISBN-10: 0321888030
  • ISBN-13: 978-0321888037

eBook Description:

R for Everyone: Advanced Analytics and Graphics

Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone: Advanced Analytics and Graphics is the solution. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, and manipulation; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques.

Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks.

Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, and manipulation; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. FREE DOWNLOAD »

Data Just Right: Introduction to Large-Scale Data & Analytics

eBook Details:

  • Paperback: 256 pages
  • Publisher: Addison-Wesley Professional; 1st edition (December 29, 2013)
  • Language: English
  • ISBN-10: 0321898656
  • ISBN-13: 978-0321898654

eBook Description:

Data Just Right: Introduction to Large-Scale Data & Analytics

Large-scale data analysis is now vitally important to virtually every business. Mobile and social technologies are generating massive datasets; distributed cloud computing offers the resources to store and analyze them; and professionals have radically new technologies at their command, including NoSQL databases. Until now, however, most books on “Big Data” have been little more than business polemics or product catalogs. Data Just Right: Introduction to Large-Scale Data & Analytics is different: It’s a completely practical and indispensable guide for every Big Data decision-maker, implementer, and strategist.

Michael Manoochehri, a former Google engineer and data hacker, writes for professionals who need practical solutions that can be implemented with limited resources and time. Drawing on his extensive experience, he helps you focus on building applications, rather than infrastructure, because that’s where you can derive the most value.

Manoochehri shows how to address each of today’s key Big Data use cases in a cost-effective way by combining technologies in hybrid solutions. You’ll find expert approaches to managing massive datasets, visualizing data, building data pipelines and dashboards, choosing tools for statistical analysis, and more. Throughout, the author demonstrates techniques using many of today’s leading data analysis tools, including Hadoop, Hive, Shark, R, Apache Pig, Mahout, and Google BigQuery. FREE DOWNLOAD »

Practical Cassandra: A Developer’s Approach

eBook Details:

  • Paperback: 208 pages
  • Publisher: Addison-Wesley Professional; 1st edition (December 29, 2013)
  • Language: English
  • ISBN-10: 032193394X
  • ISBN-13: 978-0321933942

eBook Description:

Build and Deploy Massively Scalable, Super-fast Data Management Applications with Apache Cassandra

Practical Cassandra: A Developer’s Approach is the first hands-on developer’s guide to building Cassandra systems and applications that deliver breakthrough speed, scalability, reliability, and performance. Fully up to date, it reflects the latest versions of Cassandra-including Cassandra Query Language (CQL), which dramatically lowers the learning curve for Cassandra developers. Pioneering Cassandra developers and Datastax MVPs Russell Bradberry and Eric Lubow walk you through every step of building a real production application that can store enormous amounts of structured, semi-structured, and unstructured data.

Pioneering Cassandra developers and Datastax MVPs Russell Bradberry and Eric Lubow walk you through every step of building a real production application that can store enormous amounts of structured, semi-structured, and unstructured data. Drawing on their exceptional expertise, Bradberry and Lubow share practical insights into issues ranging from querying to deployment, management, maintenance, monitoring, and troubleshooting. Practical Cassandra: A Developer’s Approach is the first hands-on developer’s guide to building Cassandra systems and applications that deliver breakthrough speed, scalability, reliability, and performance.

The authors cover key issues, from architecture to migration, and guide you through crucial decisions about configuration and data modeling. They provide tested sample code, detailed explanations of how Cassandra works ”under the covers,” and new case studies from three cutting-edge users: Ooyala, Hailo, and eBay. FREE DOWNLOAD »

Institutionalization of UX: A Step-by-Step Guide to a User Experience Practice, 2nd Edition

eBook Details:

  • Paperback: 368 pages
  • Publisher: Addison-Wesley Professional; 2nd edition (December 28, 2013)
  • Language: English
  • ISBN-10: 0321884817
  • ISBN-13: 978-0321884817

eBook Description:

Institutionalization of UX: A Step-by-Step Guide to a User Experience Practice, 2nd Edition

Institutionalization of UX: A Step-by-Step Guide to a User Experience Practice, 2nd Edition shows how to develop a mature, user-centered design practice within an enterprise. Eric Schaffer guides readers step by step through a solid methodology for institutionalizing UX, providing practical advice on the organizational change, milestones, toolsets, infrastructure, staffing, governance, and long-term operations needed to achieve fully mature UX engineering. Whether you are an executive leading the institutional-ization process, a manager supporting the transition of your organization’s UX practice, or an engineer working on UX issues, this guide will help you build a mature and sustainable practice in UX design.

First published in 2004 as Institutionalization of Usability, this new, expanded edition looks beyond the science of usability to the broader, deeper implications of UX: Once customers can use your applications and websites easily, how does your organization ensure that those engagements are satisfying, engaging, and relevant? Contextual innovation expert Apala Lahiri contributes a new chapter on managing cultural differences for international organizations.

Computer hardware no longer provides a competitive edge. Software has become a broadly shared commodity. A new differentiator has emerged in information technology: user experience (UX). Executives recognize that the customer satisfaction that applications and websites provide directly impacts a company’s stock price. FREE DOWNLOAD »