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TDWI Hot Topics

Dive into the hottest topics in BI and data warehousing. Our experts separate hype from fact as they provide insight into the latest tools, technologies, and techniques for solving the most pressing BI and DW challenges.


TDWI Hot Topic // Teradata's Ambitions Soar with Teradata Cloud

October 21, 2013

A closer look at the company’s latest push into the cloud.


TDWI Hot Topic // Busting Common Hadoop Myths

June 19, 2013

For several years, TDWI’s Philip Russom has been battling Hadoop-related myths and misconceptions. Some are especially hard to bust. Call them “zombie” myth-conceptions: the ones that refuse to die.


TDWI Hot Topic // In-Memory versus Optimizing for Memory Usage

May 31, 2013

Classic in-memory databases are constrained by several factors, not the least of which is the amount of available physical memory. Enter the memory-optimized database, one example of which comes by way of Teradata’s new Intelligent Memory option.


Big Data and the Data Warehouse: A Question of Adjustment

TDWI Hot Topic // Big Data and the Data Warehouse: A Question of Adjustment

April 23, 2013

Retooling for the era of big data isn’t a question of starting from scratch. It doesn’t require radically reinventing the data warehouse (DW). Philip Russom, director of data management for TDWI Research, says that what’s needed are “adjustments” to how the DW is structured and managed.


TDWI Hot Topic // The Changing Role of the Data Scientist

April 17, 2013

Because data scientific expertise is so rare, vendors will focus on automating as much of the analytic process as is possible. A market for data scientific services will likely flourish, too.


TDWI Hot Topic // Making Predictive Analytics Workable

April 8, 2013

With all of the talk about the breathtaking promise of predictive analytics, it’s easy to lose sight of an inconvenient truth: predictive analytics is hard.


TDWI Hot Topic // Investigative Computing: The New Frontier in Business Intelligence

April 8, 2013

Today, the practice of “embedding” BI into operational processes yields results that are less analytic than reportorial. The New Model—“investigative computing”—will fundamentally change this.


TDWI Hot Topic // Reading the Tea Leaves: BI Architectures of the Future

April 2, 2013

To respond to a changing data environment, BI architectures must change. The role and primacy of the data warehouse will change, too. But will it go away?


TDWI Hot Topic // Using Hadoop to Turbocharge ETL the Smart Way

April 1, 2013

With the scarcity of Hadoop expertise available, how can enterprises take advantage of the technology?


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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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