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TDWI E-Books

TDWI E-Books connect you with the experts as they explore timely topics such as big data integration, cloud computing, and advanced analytics. Each e-book features hard-hitting articles as well as perspectives and Q&A from top industry solution providers on trends, challenges, benefits, misconceptions, and best practices.


TDWI E-Book // Forward-Looking Business Intelligence

March 25, 2014

Collaboration between business and IT is the future of predictive analytics. This TDWI E-Book illustrates the value behind it and the future that lies ahead.


TDWI E:Book: Modernizing Your Data Warehousing Architecture with Hadoop

TDWI E-Book // Modernizing Your Data Warehouse Architecture with Hadoop

March 13, 2014

This TDWI E-Book features expert Q&A and useful articles about Hadoop’s evolving role in the data warehouse—and tips for getting started in your organization. Learn how to seamlessly integrate Hadoop into your existing system.


TDWI E-Book: Big Data Management

TDWI E-Book // Big Data Management

January 28, 2014

Big data is part of the new IT environment—and it’s here to stay. Now is the time to begin a big data implementation. But where do you start?


TDWI E-Book // From Enterprise to Personal Search: Flipping the Search Landscape

January 6, 2014

Download this e-book to learn about the benefits of enterprise search, and why traditional search no longer provides users the complete picture of an enterprise's information.


TDWI E-Book // Top Considerations for Effective Visualizations

December 13, 2013

In this TDWI E-Book, you'll discover the key factors that can help you create visualizations that will maximize your users’ grasp of their data and the role of advanced visualizations in working with and understanding big data.


TDWI E-Book: Analytics in the Cloud

TDWI E-Book // Analytics in the Cloud: The Challenges and Benefits

November 15, 2013

Today, organizations are heavily invested in the cloud. Critical business processes depend on cloud services; some are enabled solely by the cloud. In other words, the cloud is our infrastructure. If that’s the case, why do organizations still insist on treating infrastructure as an afterthought?


TDWI E-Book // Investigative Analytics: The New BI Frontier

June 18, 2013

Machine-generated data poses significant challenges for conventional relational database management systems, to say nothing of conventional analytics. It requires new technologies, new methods, and even new thinking. What's the answer? This e-book takes a look at "investigative analytics."


TDWI E-Book // Unified Data Architecture

June 6, 2013

In this TDWI E-Book, we explore big data’s challenges, opportunities, and common mistakes, as well as the role a unified data architecture plays in this technology environment.


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Channels by Topic

  • Agile BI »
    Includes:
    • Agile
    • Scoping
    • Principles
    • Iterations
    • Scrum
    • Testing
  • Big Data Analytics »
    Includes:
    • Advanced Analytics
    • Diverse Data Types
    • Massive Volumes
    • Real-time/Streaming
    • Hadoop
    • MapReduce
  • Business Analytics »
    Includes:
    • Advanced Analytics
    • Predictive
    • Customer
    • Spatial
    • Text Mining
    • Big Data
  • Business Intelligence »
    Includes:
    • Agile
    • In-memory
    • Search
    • Real-time
    • SaaS
    • Open source
  • BI Leadership »
    Includes:
    • Latest Trends
    • Technologies
    • Thought Leadership
  • Data Analysis and Design »
    Includes:
    • Business Requirements
    • Metrics
    • KPIs
    • Rules
    • Models
    • Dimensions
    • Testing
  • Data Management »
    Includes:
    • Data Quality
    • Integration
    • Governance
    • Profiling
    • Monitoring
    • ETL
    • CDI
    • Master Data Management
    • Analytic/Operational
  • Data Warehousing »
    Includes:
    • Platforms
    • Architectures
    • Appliances
    • Spreadmarts
    • Databases
    • Services
  • Performance Management »
    Includes:
    • Dashboards, Scorecards
    • Measures
    • Objectives
    • Compliance
    • Profitability
    • Cost Management
  • Program Management »
    Includes:
    • Leadership
    • Planning
    • Team-Building
    • Staffing
    • Scoping
    • Road Maps
    • BPM, CRM, SCM
  • Master Data Management »
    Includes:
    • Business Definitions
    • Sharing
    • Integration
    • ETL, EAI, EII
    • Replication
    • Data Governance

Meet the Analysts

  • Philip Russom

    Philip Russom

    is director of TDWI Research for data management and oversees many of TDWI’s research-oriented publications, services, and events. Before joining TDWI in 2005, Russom was an industry analyst covering BI at Forrester Research, Giga Information Group, and Hurwitz Group. He also ran his own business as an independent industry analyst and BI consultant and was a contributing editor with leading IT magazines. Before that, Russom worked in technical and marketing positions for various database vendors. He can be reached at prussom@tdwi.org

    View a selection of Philip's contributions
  • David Stodder

    David Stodder

    is director of TDWI Research for business intelligence. He focuses on providing research-based insight and best practices for organizations implementing BI, analytics, performance management, data discovery, data visualization, and related technologies and methods. He is the author of recent TDWI Checklist Reports on data discovery and information management, and an upcoming Best Practices report on mobile BI and analytics. Stodder has provided thought leadership on BI, information management, and IT management for over two decades. Previously, he headed up his own independent firm and served as vice president and research director with Ventana Research. He was the founding chief editor of Intelligent Enterprise and served as editorial director for nine years. He was also one of the founders of Database Programming & Design magazine and directed the Database Summit Series conferences. He can be reached at dstodder@tdwi.org

    View a selection of David's contributions
  • Fern Halper

    Fern Halper

    is director of TDWI Research for advanced analytics, focusing on predictive analytics, social media analysis, text analytics, cloud computing, and other “big data” analytics approaches. She has more than 20 years of experience in data and business analysis, and has published numerous articles on data mining and information technology. Halper is co-author of “Dummies” books on cloud computing, hybrid cloud, service-oriented architecture, and service management, and is currently completing Big Data for Dummies (to be published in April 2013). She has been a partner at industry analyst firm Hurwitz & Associates and a lead analyst for AT&T Bell Labs. Her Ph.D. is from Texas A&M University. You can reach her at fhalper@tdwi.org, or follow her on Twitter: @fhalper

    View a selection of Fern's contributions

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