Senin, 27 Mei 2013

Wow! eBook: Managing Data in Motion - 5 new eBooks


Wow! eBook: Managing Data in Motion - 5 new eBooks

Link to Wow! eBook

Managing Data in Motion

Posted: 27 May 2013 07:15 AM PDT

Book Description

Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment.

The average enterprise’s computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired.

The management of the “data in motion” in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and “big data” applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects.

  • Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types
  • Explains, in non-technical terms, the architecture and components required to perform data integration
  • Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of “Big Data”

Table of Contents
Part 1: Introduction to Data Integration
Chapter 1. The Importance of Data Integration
Chapter 2. What Is Data Integration?
Chapter 3. Types and Complexity of Data Integration
Chapter 4. The Process of Data Integration Development

Part 2: Batch Data Integration
Chapter 5. Introduction to Batch Data Integration
Chapter 6. Extract, Transform, and Load
Chapter 7. Data Warehousing
Chapter 8. Data Conversion
Chapter 9. Data Archiving
Chapter 10. Batch Data Integration Architecture and Metadata

Part 3: Real Time Data Integration
Chapter 11. Introduction to Real-Time Data Integration
Chapter 12. Data Integration Patterns
Chapter 13. Core Real-Time Data Integration Technologies
Chapter 14. Data Integration Modeling
Chapter 15. Master Data Management
Chapter 16. Data Warehousing with Real-Time Updates
Chapter 17. Real-Time Data Integration Architecture and Metadata

Part 4: Big, Cloud, Virtual Data
Chapter 18. Introduction to Big Data Integration
Chapter 19. Cloud Architecture and Data Integration
Chapter 20. Data Virtualization
Chapter 21. Big Data Integration
Chapter 22. Conclusion to Managing Data in Motion

Book Details

  • Paperback: 204 pages
  • Publisher: Morgan Kaufmann (March 2013)
  • Language: English
  • ISBN-10: 0123971675
  • ISBN-13: 978-0123971678
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Analyzing the Social Web

Posted: 27 May 2013 07:11 AM PDT

Book Description

Analyzing the Social Web provides a framework for the analysis of public data currently available and being generated by social networks and social media, like Facebook, Twitter, and Foursquare. Access and analysis of this public data about people and their connections to one another allows for new applications of traditional social network analysis techniques that let us identify things like who are the most important or influential people in a network, how things will spread through the network, and the nature of peoples’ relationships. Analyzing the Social Web introduces you to these techniques, shows you their application to many different types of social media, and discusses how social media can be used as a tool for interacting with the online public.

  • Presents interactive social applications on the web, and the types of analysis that are currently conducted in the study of social media.
  • Covers the basics of network structures for beginners, including measuring methods for describing nodes, edges, and parts of the network.
  • Discusses the major categories of social media applications or phenomena and shows how the techniques presented can be applied to analyze and understand the underlying data.
  • Provides an introduction to information visualization, particularly network visualization techniques, and methods for using them to identify interesting features in a network, generate hypotheses for analysis, and recognize patterns of behavior.
  • Includes a supporting website with lecture slides, exercises, and downloadable social network data sets that can be used can be used to apply the techniques presented in the book.

Table of Contents
Chapter 1. Introduction
Chapter 2. Nodes, Edges, and Network Measures
Chapter 3. Network Structure and Measures
Chapter 4. Network Visualization
Chapter 5. Tie Strength
Chapter 6. Trust
Chapter 7. Understanding Structure Through User Attributes and Behavior
Chapter 9. Entity Resolution and Link Prediction
Chapter 10. Propagation in Networks
Chapter 11. Community-Maintained Resources
Chapter 12. Location-Based Social Interaction
Chapter 13. Social Information Filtering
Chapter 14. Social Media in the Public Sector
Chapter 15. Business Use of Social Media
Chapter 16. Privacy
Chapter 17. Case Study: Social Network Strategies for Surviving the Zombie Apocalypse

Book Details

  • Paperback: 290 pages
  • Publisher: Morgan Kaufmann (March 2013)
  • Language: English
  • ISBN-10: 0124055311
  • ISBN-13: 978-0124055315
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Computation and Storage in the Cloud

Posted: 27 May 2013 07:07 AM PDT

Book Description

Computation and Storage in the Cloud is the first comprehensive and systematic work investigating the issue of computation and storage trade-off in the cloud in order to reduce the overall application cost. Scientific applications are usually computation and data intensive, where complex computation tasks take a long time for execution and the generated datasets are often terabytes or petabytes in size. Storing valuable generated application datasets can save their regeneration cost when they are reused, not to mention the waiting time caused by regeneration. However, the large size of the scientific datasets is a big challenge for their storage. By proposing innovative concepts, theorems and algorithms, this book will help bring the cost down dramatically for both cloud users and service providers to run computation and data intensive scientific applications in the cloud.

  • Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users
  • Describes several novel strategies for storing application datasets in the cloud
  • Includes real-world case studies of scientific research applications

Table of Contents
Chapter 1. Introduction
Chapter 2. Literature Review
Chapter 3. Motivating Example and Research Issues
Chapter 4. Cost Model of Data Set Storage in the Cloud
Chapter 5. Minimum Cost Benchmarking Approaches
Chapter 6. Cost-Effective Data Set Storage Strategies
Chapter 7. Experiments and Evaluations
Chapter 8. Conclusions and Contributions

Appendix A. Notation Index
Appendix B. Proofs of Theorems, Lemmas and Corollaries
Appendix C. Method of Calculating λ Based on Users' Extra Budget

Book Details

  • Paperback: 128 pages
  • Publisher: Elsevier (February 2013)
  • Language: English
  • ISBN-10: 0124077676
  • ISBN-13: 978-0124077676
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Brainstorming and Beyond

Posted: 27 May 2013 07:00 AM PDT

Book Description

Brainstorming and Beyond describes the techniques for generating ideas verbally, in writing, or through sketches. The first chapter focuses on brainstorming, the foundation method for ideation, which is a complex social process building off of social psychology principles, motivational constructs, and corporate culture. Brainstorming is commonly portrayed as an easy way to generate ideas, but in reality, it is a complex social process that is often flawed in ways that are not self-evident. Chapter 2 discusses Brainwriting, which is a variation on brainstorming in which each person writes ideas down on paper and then passes the paper to a new person who reads the first set of ideas and adds new ones. Since there is no group shouting out of ideas, strong facilitation skills are not required, and more often than not, Brainwriting results greatly exceed those of group brainstorming in a shorter time because ideas are generated in a parallel, rather than serial, fashion. Brainwriting is useful when time is limited, groups are hostile, or you are dealing with a culture where shouting out wild or divergent ideas might be difficult. Finally, in Chapter 3, readers learn about Braindrawing, a method of visual brainstorming that helps practitioners generate ideas for icons, other graphics, user interface layouts, or Web page designs. Each of these methods provides readers with ways to generate, present, and evaluate ideas so they can begin building a strong foundation for product success.

  • Learn the proper techniques for generating ideas with  limited time, hostile audiences, and limited facilitation support.
  • Explores efficient processes for analyzing the value of ideas.
  • Examines ways to generate visual, as well as textual ideas.

Table of Contents
Chapter 1. Brainstorming
Chapter 2. Brainwriting
Chapter 3. Braindrawing

Book Details

  • Paperback: 84 pages
  • Publisher: Morgan Kaufmann (February 2013)
  • Language: English
  • ISBN-10: 0124071570
  • ISBN-13: 978-0124071575
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Measuring Data Quality for Ongoing Improvement

Posted: 27 May 2013 06:57 AM PDT

Book Description

The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You’ll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You’ll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies.

  • Demonstrates how to leverage a technology independent data quality measurement framework for your specific business priorities and data quality challenges
  • Enables discussions between business and IT with a non-technical vocabulary for data quality measurement
  • Describes how to measure data quality on an ongoing basis with generic measurement types that can be applied to any situation

Table of Contents
Section One: Concepts and Definitions
Chapter 1. Data
Chapter 2. Data, People, and Systems
Chapter 3. Data Management, Models, and Metadata
Chapter 4. Data Quality and Measurement

Section Two: DQAF Concepts and Measurement Types
Chapter 5. DQAF Concepts
Chapter 6. DQAF Measurement Types

Section Three: Data Assessment Scenarios
Chapter 7. Initial Data Assessment
Chapter 8 Assessment in Data Quality Improvement Projects
Chapter 9. Ongoing Measurement

Section Four: Applying the DQAF to Data Requirements
Chapter 10. Requirements, Risk, Criticality
Chapter 11. Asking Questions

Section Five: A Strategic Approach to Data Quality
Chapter 12. Data Quality Strategy
Chapter 13. Quality Improvement and Data Quality
Chapter 14. Directives for Data Quality Strategy

Section Six: The DQAF in Depth
Chapter 15. Functions of Measurement. Collection, Calculation, Comparison
Chapter 16. Features of the DQAF Measurement Logical
Chapter 17. Facets of the DQAF Measurement Types

Appendix A. Measuring the Value of Data
Appendix B. Data Quality Dimensions
Appendix C. Completeness, Consistency, and Integrity of the Data Model
Appendix D. Prediction, Error, and Shewhart's lost disciple, Kristo Ivanov

Book Details

  • Paperback: 376 pages
  • Publisher: Morgan Kaufmann (January 2013)
  • Language: English
  • ISBN-10: 0123970334
  • ISBN-13: 978-0123970336
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Jumat, 24 Mei 2013

Wow! eBook: Intel Xeon Phi Coprocessor High Performance Programming - 5 new eBooks


Wow! eBook: Intel Xeon Phi Coprocessor High Performance Programming - 5 new eBooks

Link to Wow! eBook

Intel Xeon Phi Coprocessor High Performance Programming

Posted: 24 May 2013 10:32 AM PDT

Book Description

Authors Jim Jeffers and James Reinders spent two years helping educate customers about the prototype and pre-production hardware before Intel introduced the first Intel Xeon Phi coprocessor. They have distilled their own experiences coupled with insights from many expert customers, Intel Field Engineers, Application Engineers and Technical Consulting Engineers, to create this authoritative first book on the essentials of programming for this new architecture and these new products.

This book is useful even before you ever touch a system with an Intel Xeon Phi coprocessor. To ensure that your applications run at maximum efficiency, the authors emphasize key techniques for programming any modern parallel computing system whether based on Intel Xeon processors, Intel Xeon Phi coprocessors, or other high performance microprocessors. Applying these techniques will generally increase your program performance on any system, and better prepare you for Intel Xeon Phi coprocessors and the Intel MIC architecture.

  • A practical guide to the essentials of the Intel Xeon Phi coprocessor
  • Presents best practices for portable, high-performance computing and a familiar and proven threaded, scalar-vector programming model
  • Includes simple but informative code examples that explain the unique aspects of this new highly parallel and high performance computational product
  • Covers wide vectors, many cores, many threads and high bandwidth cache/memory architecture

Table of Contents
Chapter 1. Introduction
Chapter 2. High Performance examples
Chapter 3. Benchmarking Apps
Chapter 4. Real-world Situations
Chapter 5. Lots of Data (Vectors)
Chapter 6. Lots of Tasks (not Threads)
Chapter 7. Processing Parallelism
Chapter 8. Coprocessor Architecture
Chapter 9. Coprocessor System Software
Chapter 10. Linux on the Coprocessor
Chapter 11. Math Library
Chapter 12. MPI
Chapter 13. Profiling
Chapter 14. Summary

Book Details

  • Paperback: 432 pages
  • Publisher: Morgan Kaufmann (February 2013)
  • Language: English
  • ISBN-10: 0124104142
  • ISBN-13: 978-0124104143
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Programming Massively Parallel Processors, 2nd Edition

Posted: 24 May 2013 10:31 AM PDT

Book Description

Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth.

This best-selling guide to CUDA and GPU parallel programming has been revised with more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. With these improvements, the book retains its concise, intuitive, practical approach based on years of road-testing in the authors’ own parallel computing courses.

Updates in this new edition include:

  • New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more
  • Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism
  • Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing

Table of Contents
Chapter 1. Introduction
Chapter 2. History of GPU Computing
Chapter 3. Introduction to Data Parallelism and CUDA C
Chapter 4. Data-Parallel Execution Model
Chapter 5. CUDA Memories
Chapter 6. Performance Considerations
Chapter 7. Floating-Point Considerations
Chapter 8. Parallel Patterns: Convolution
Chapter 9. Parallel Patterns: Prefix Sum
Chapter 10. Parallel Patterns: Sparse Matrix–Vector Multiplication
Chapter 11. Application Case Study: Advanced MRI Reconstruction
Chapter 12. Application Case Study: Molecular Visualization and Analysis
Chapter 13. Parallel Programming and Computational Thinking
Chapter 14. An Introduction to OpenCLTM
Chapter 15. Parallel Programming with OpenACC
Chapter 16. Thrust: A Productivity-Oriented Library for CUDA
Chapter 17. CUDA FORTRAN
Chapter 18. An Introduction to C++ AMP
Chapter 19. Programming a Heterogeneous Computing Cluster
Chapter 20. CUDA Dynamic Parallelism
Chapter 21. Conclusion and Future Outlook

Appendix A. Matrix Multiplication Host-Only Version Source Code
Appendix B. GPU Compute Capabilities

Book Details

  • Paperback: 514 pages
  • Publisher: Morgan Kaufmann; 2nd Edition (December 2012)
  • Language: English
  • ISBN-10: 0124159923
  • ISBN-13: 978-0124159921
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Designing the Search Experience

Posted: 24 May 2013 10:23 AM PDT

Book Description

Search is not just a box and ten blue links. Search is a journey: an exploration where what we encounter along the way changes what we seek. But in order to guide people along this journey, designers must understand both the art and science of search.In Designing the Search Experience, authors Tony Russell-Rose and Tyler Tate weave together the theories of information seeking with the practice of user interface design.

  • Understand how people search, and how the concepts of information seeking, information foraging, and sensemaking underpin the search process.
  • Apply the principles of user-centered design to the search box, search results, faceted navigation, mobile interfaces, social search, and much more.
  • Design the cross-channel search experiences of tomorrow that span desktop, tablet, mobile, and other devices.

Table of Contents
Part 1: A Framework for Search and Discovery
Chapter 1. The User
Chapter 2. Information Seeking
Chapter 3. Context
Chapter 4. Modes of Search and Discovery

Part 2: Design Solutions
Chapter 5. Formulating the Query
Chapter 6. Displaying and Manipulating Results
Chapter 7. Faceted Search
Chapter 8. Mobile Search
Chapter 9. Social Search

Part 3: Designing the Future
Chapter 10. Cross-Channel Information Interaction

Book Details

  • Paperback: 320 pages
  • Publisher: Morgan Kaufmann (December 2012)
  • Language: English
  • ISBN-10: 0123969816
  • ISBN-13: 978-0123969811
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Human-Computer Interaction

Posted: 24 May 2013 10:19 AM PDT

Book Description

Human-Computer Interaction: An Empirical Research Perspective is the definitive guide to empirical research in HCI. The book begins with foundational topics including historical context, the human factor, interaction elements, and the fundamentals of science and research. From there, you’ll progress to learning about the methods for conducting an experiment to evaluate a new computer interface or interaction technique. There are detailed discussions and how-to analyses on models of interaction, focusing on descriptive models and predictive models. Writing and publishing a research paper is explored with helpful tips for success. Throughout the book, you’ll find hands-on exercises, checklists, and real-world examples. This is your must-have, comprehensive guide to empirical and experimental research in HCI-an essential addition to your HCI library.

  • Master empirical and experimental research with this comprehensive, A-to-Z guide in a concise, hands-on reference
  • Discover the practical and theoretical ins-and-outs of user studies
  • Find exercises, takeaway points, and case studies throughout

Table of Contents
Chapter 1. Historical Context
Chapter 2. The Human Factor
Chapter 3. Interaction Elements
Chapter 4. Scientific Foundations
Chapter 5. Designing HCI Experiments
Chapter 6. Hypothesis Testing
Chapter 7. Modeling Interaction
Chapter 8. Writing and Publishing a Research Paper

Book Details

  • Paperback: 370 pages
  • Publisher: Morgan Kaufmann (January 2013)
  • Language: English
  • ISBN-10: 0124058655
  • ISBN-13: 978-0124058651
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Web Services, Service-Oriented Architectures, and Cloud Computing, 2nd Edition

Posted: 24 May 2013 10:15 AM PDT

Book Description

Web Services, Service-Oriented Architectures, and Cloud Computing is a jargon-free, highly illustrated explanation of how to leverage the rapidly multiplying services available on the Internet. The future of business will depend on software agents, mobile devices, public and private clouds, big data, and other highly connected technology. IT professionals will need to evaluate and combine online services into service-oriented architectures (SOA), often depending on Web services and cloud computing. This can mean a fundamental shift away from custom software and towards a more nimble use of semantic vocabularies, middle-tier systems, adapters and other standardizing aspects.

This book is a guide for the savvy manager who wants to capitalize on this technological revolution. It begins with a high-level example of how an average person might interact with a service-oriented architecture, and progresses to more detail, discussing technical forces driving adoption and how to manage technology, culture and personnel issues that can arise during adoption. An extensive reference section provides quick access to commonly used terms and concepts.

  • Broad, non-technical explanation of a technical topic for managers at all levels
  • Only web services book to cover data management and software engineering perspectives; excellent resource for all members of IT teams
  • Provides a set of leadership principles and suggested applications for using this technology

Table of Contents
Part I: Overview of Web Services, Service-Oriented Architecture, and Cloud Computing
Chapter 1. A Business Trip in the Not-Too-Distant Future
Chapter 2. Information Technology Used in This Trip
Chapter 3. Web Services and Service-Oriented Architectures
Chapter 4. Cloud Computing

Part II: Technical Forces Driving the Adoption of Web Services, Service-Oriented Architectures, and Cloud Computing
Chapter 5. Technical Forces Driving the Adoption of Webservices
Chapter 6. Technical Forces Driving the Adoption of a Service-Oriented Architecture
Chapter 7. Technical Forces Driving the Adoption of Cloud Computing

Part III: Managing Change Needed for Web Services, Service-Oriented Architectures, and Cloud Computing
Chapter 8. Change Issues Affecting the Adoption of Web Services, Service-Oriented Architectures, and Cloud Computing
Chapter 9. Tips for Managing Change Issues during Development
Chapter 10. Managing Change with an Incremental Service-Oriented Architecture

Part IV: Getting Started with Web Services, Service-Oriented Architectures, and Cloud Computing
Chapter 11. Getting Started with Web Services
Chapter 12. Getting Started with Service-Oriented Architectures
Chapter 13. Getting Started with Cloud Computing
Chapter 14. Revisiting the Business Trip in the Not-Too-Distant Future

Part V: Reference Guide
Chapter 15. Semantic Vocabularies
Chapter 16. Terminology

Book Details

  • Paperback: 248 pages
  • Publisher: Morgan Kaufmann; 2nd Edition (January 2013)
  • Language: English
  • ISBN-10: 0123983576
  • ISBN-13: 978-0123983572
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Kamis, 23 Mei 2013

Wow! eBook: Intersection - 4 new eBooks


Wow! eBook: Intersection - 4 new eBooks

Link to Wow! eBook

Intersection

Posted: 23 May 2013 06:11 AM PDT

Book Description

Many organizations struggle with the dynamics and the complexity of today’s social ecosystems that connect everyone and everything, everywhere and all the time. Facing challenges at the intersection of business models, technical developments, and human needs, modern enterprises must overcome the siloed thinking and isolated efforts of the past, and instead address their relationships to people holistically. In Intersection, Milan Guenther introduces a Strategic Design approach that aligns the overarching efforts of Branding, Enterprise Architecture, and Experience Design, and sets them on a common course to shape tomorrow’s enterprises.

This book gives designers, entrepreneurs, innovators, and leaders a model and a comprehensive vocabulary for tackling such deep-rooted challenges. The Enterprise Design framework cuts through the complexity of Strategic Design work, showing how to navigate key aspects and bridge diverging viewpoints. In 9 case studies, the author looks at the way companies like SAP, BBVA, IKEA, and Jeppesen (a Boeing Company) apply design thinking and practice to shape their enterprises. Moving from strategy to conceptual design and concrete results, Intersection shows what is relevant at which point, and what expertise to involve.

  • Teaches how to align business strategy with Brand Identity, Customer Experience, and Enterprise Architecture initiatives as part of a consolidated enterprise-wide design practice to achieve stakeholder value
  • Provides a framework for designing systems, products and services as the building blocks of a consistent and coherent experience for all stakeholders in the wider enterprise, joining strategic considerations with the delivery of tangible outcomes
  • Explains how to make results such as websites, apps, objects, platforms, or environments part of a larger system that orchestrates enterprise touchpoints with people

Table of Contents
Part I: Thoughts on Strategic Design
Chapter 1. The Relationship Challenge
Chapter 2. Blurring Boundaries
Chapter 3. The Design-Minded Enterprise

Part II: The Enterprise Design Framework
Chapter 4. Big Picture
Chapter 5. Anatomy
Chapter 6. Frames
Chapter 7. Design Space
Chapter 8. Rendering

Part III: Design Approach
Chapter 9. Design Process
Chapter 10. Design Program

Book Details

  • Paperback: 462 pages
  • Publisher: Morgan Kaufmann (November 2012)
  • Language: English
  • ISBN-10: 0123884357
  • ISBN-13: 978-0123884350
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Data Insights

Posted: 23 May 2013 06:08 AM PDT

Book Description

Data Insights offers multi-disciplinary perspectives and useful information about how visualizations can open your eyes to data. This thought-provoking book takes a conversational approach to presenting an overview of the subject, while also focusing on key details. It highlights the ideas and work of a variety of people who are actively contributing to this still emerging field. Case studies from business analytics, healthcare, games, security, and network monitoring, among others, portray what is going on in data visualization today. A diverse blend of original illustrations and real-world examples, both classical and cutting-edge, help fill in the picture.

This book provides an approachable overview of important aspects of data visualization, and…

  • Demonstrates, with a variety of case studies, how visualizations can foster a clearer and more comprehensive understanding of data
  • Answers the question, “How can data visualization help me?” with discussions of how it fits into a wide array of purposes and situations
  • Makes the case that data visualization is not just about technology; it also involves a deeply human process

Table of Contents
Chapter 1. From Terabytes to Insights
Chapter 2. A More Beautiful Question
Chapter 3. Winning Combinations: Working with the Ingredients of Data Visualization
Chapter 4. Pathways, Purposes, and Points of View
Chapter 5. Views You Can Use
Chapter 6. Thinking… Machines
Chapter 7. Hindsight, Foresight, and Insight

Book Details

  • Paperback: 320 pages
  • Publisher: Morgan Kaufmann (November 2012)
  • Language: English
  • ISBN-10: 0123877938
  • ISBN-13: 978-0123877932
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CUDA Programming

Posted: 23 May 2013 06:05 AM PDT

Book Description

If you need to learn CUDA but don’t have experience with parallel computing, CUDA Programming: A Developer’s Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems.

  • Comprehensive introduction to parallel programming with CUDA, for readers new to both
  • Detailed instructions help readers optimize the CUDA software development kit
  • Practical techniques illustrate working with memory, threads, algorithms, resources, and more
  • Covers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsets
  • Each chapter includes exercises to test reader knowledge

Table of Contents
Chapter 1. A Short History of Supercomputing
Chapter 2. Understanding Parallelism with GPUs
Chapter 3. CUDA Hardware Overview
Chapter 4. Setting Up CUDA
Chapter 5. Grids, Blocks, and Threads
Chapter 6. Memory Handling with CUDA
Chapter 7. Using CUDA in Practice
Chapter 8. Multi-CPU and Multi-GPU Solutions
Chapter 9. Optimizing Your Application
Chapter 10. Libraries and SDK
Chapter 11. Designing GPU-Based Systems
Chapter 12. Common Problems, Causes, and Solutions

Book Details

  • Paperback: 600 pages
  • Publisher: Morgan Kaufmann (November 2012)
  • Language: English
  • ISBN-10: 0124159338
  • ISBN-13: 978-0124159334
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Business Intelligence, 2nd Edition

Posted: 23 May 2013 06:02 AM PDT

Book Description

Following the footsteps of the first edition, the second edition of Business Intelligence is a full overview of what comprises business intelligence. It is intended to provide an introduction to the concepts to uncomplicate the learning process when implementing a business intelligence program.

Over a relatively long lifetime (7 years), the current edition of book has received numerous accolades from across the industry for its straightforward introduction to both business and technical aspects of business intelligence.

As an author, David Loshin has a distinct ability to translate challenging topics into a framework that is easily digestible by managers, business analysts, and technologists alike. In addition, his material has developed a following (such as the recent Master Data Management book) among practitioners and key figures in the industry (both analysts and vendors) and that magnifies our ability to convey the value of this book.

  • Guides managers through developing, administering, or simply understanding business intelligence technology
  • Keeps pace with the changes in best practices, tools, methods and processes used to transform an organization’s data into actionable knowledge
  • Contains a handy, quick-reference to technologies and terminology.

Table of Contents
Chapter 1. Business Intelligence – An Introduction
Chapter 2. Value Drivers
Chapter 3. Planning for Success
Chapter 4. Developing a Business Intelligence Roadmap
Chapter 5. The Business Intelligence Environment
Chapter 6. Business Models and Information Flow
Chapter 7. Data Requirements Analysis
Chapter 8. Data Warehouses and the Technical BI Architecture
Chapter 9. Business Metadata
Chapter 10. Data Profiling
Chapter 11. Business Rules
Chapter 12. Data Quality
Chapter 13. Data Integration
Chapter 14. High Performance BI
Chapter 15. Alternate Information Contexts
Chapter 16. Location Intelligence and Spatial analysis?
Chapter 17. Knowledge Discovery, Data Mining, and Analytics
Chapter 18. Using Publicly Available Data
Chapter 19. Knowledge Delivery
Chapter 20. New and Emerging Techniques
Chapter 21. Quick Reference

Book Details

  • Paperback: 400 pages
  • Publisher: Morgan Kaufmann; 2nd Edition (October 2012)
  • Language: English
  • ISBN-10: 0123858895
  • ISBN-13: 978-0123858894
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