TDWI Upside - Where Data Means Business

Contributor: Philip Russom


Philip Russom, Ph.D., 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.

  


All articles by Philip Russom


Use a Hadoop-based Data Lake to Empower New Best Practices for Business Analytics

To get full business value from big data and other new data sources, many organizations use a data lake atop Hadoop to capture, process, and manage diverse data at scale for business analytics.

Data Lake Management Innovations

When designed and managed properly, a data lake can enable faster, more trusted big data analytics.

Data Management: 2016’s Hot Trends and What to Watch in 2017

The leading 2016 trends included Hadoop adoption, data lakes, and data warehouse modernization. In 2017 we'll see new activity around the SQL-ization of Hadoop, orchestrated data hubs, and managing IoT sensor data.

As with All Data, Big Data Needs Governance

Big data presents significant business opportunities when leveraged properly. When poorly governed or managed, big data presents significant business and technology risks.

Benefits of the Hadoop-Based Data Lake

In some emerging best practices, a free-form data lake implemented on Hadoop complements a structured relational data warehouse.

Self-Service Data Access: The Foundation for Emerging Analytics

New practices such as self-service data prep, exploration, and discovery don't work well (or at all) without new ways of making data more accessible.

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