What is your e-mail address?
My e-mail address is:

Do you have a password?
Forgot your password? Click here
close

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 // Enhancing Your Data Warehouse: How Big Data Technologies Can Augment and Complement Your DW

February 8, 2013

Can big data technologies benefit your relational database and data warehouse environments? Find out in this TDWI E-Book. Plus: Expert Q&A on DW augmentation benefits and best practices; a look at how how big data challenges the status quo; and tips for handling Hadoop.


TDWI E-Book: Overcoming Obstacles with BI and Big Data

TDWI E-Book: Overcoming Obstacles with BI and Big Data

December 5, 2012

Is traditional BI broken? How can we fix it? And is big data more than just the latest fad? Find answers to these questions and more in this TDWI E-Book.


TDWI E-Book: Self-Service BI

TDWI E-Book: Self-Service BI

November 15, 2012

Download this TDWI E-Book to find out why turning business people into self-empowered “analytic explorers” involves more than just equipping them with discovery tools and turning them loose on massive data sets.


TDWI E-Book: Big Data Analytics

TDWI E-Book: Big Data Analytics

September 18, 2012

Download this TDWI E-Book to learn how to overcome obstacles, maximize business value, and get started with big data analytics. You’ll also read expert Q&A on misconceptions about big data analytics as well as a forecast of its future.


TDWI E-Book: Predictive Analytics

TDWI E-Book: Predictive Analytics

July 23, 2012

This TDWI E-Book covers the reasons predictive analytics is gaining in popularity; describes the benefits and challenges; takes a look at the importance of open source; clarifies three common misconceptions; and examines predictive analytics’ relationship to data mining.


TDWI E-Book: Big Data Integration

June 20, 2012

Data integration has long been a challenge for BI professionals. Now big data is adding a few wrinkles to the process. Download this TDWI E-Book to learn more about the current state of big data integration, why more data can create more problems, and to read expert Q&A about addressing this important new trend.


Back to Top

Free Membership

Free membership with TDWI gives you access to sponsored content such as research, Webinars, and white papers. Learn More »

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

Sponsored Links