Recent Work: Philip Russom

Philip Russom, Ph.D.

Senior Director of TDWI Research for data management

Philip Russom, Ph.D., is senior director of TDWI Research for data management and is a well-known figure in data management and business intelligence circles, having published numerous research reports, magazine articles, opinion columns, and more. Before joining TDWI in 2005, Russom was an industry analyst covering BI at Forrester Research and Giga Information Group. He also ran his own business as an independent industry analyst and BI consultant and was a contributing editor with leading IT magazines.

Research

TDWI Checklist Report | The Semantic Layer's Critical Roles in Modern Data Architectures
This TDWI Checklist educates data and analytics leaders about modern platforms and practices for the semantic layer. January 26, 2023 Read Now
TDWI Checklist Report | Assuring the Quality of Operational Data
Most definitions of operational excellence assume that localized improvements have a global impact. In that spirit, this TDWI Checklist Report provides recommendations for incrementally and continuously improving the quality of operational data, which in turn contributes to an organization’s drive toward operational excellence. June 22, 2016 Read Now
TDWI Checklist Report | End-to-End Data Management Agility
This Checklist explores eight ways to increase data agility with end-to-end data management tools. April 13, 2016 Read Now
Best Practices Report | Data Warehouse Modernization in the Age of Big Data Analytics
No matter the vintage or sophistication of your organization’s data warehouse (DW), it probably needs to be modernized. Download this report for a presentation of the many issues and categories of DW modernization, plus the strategies, methods, and enabling technologies that lead to success. March 22, 2016 Read Now

Webinars

The Semantic Layer’s Critical Role in Modern Data Architectures
In this webinar, we will discuss what data and analytics leaders need to know to stay up-to-date with modern semantic layer platforms and practices. December 14, 2022 View Now
How to Use Cloud-Based Intelligent iPaaS to Modernize Integration
Learn about this modern and future-facing technology’s compelling capabilities and attributes, including how it leverages the power of the cloud, requires little or no hand-coded programming, and supports new best practices for integration, all from a single unified user interface. September 23, 2020 View Now
Ask the Expert: Unifying Data in the Cloud
In this Ask the Expert session, we will discuss how to unify data in the cloud, including how best to move to a cloud data warehouse, when it makes sense to use a cloud data warehouse, how to unify data using virtualization in this environment, how to optimize query performance in a cloud environment, how it helps data governance, and best practices for analytics support. September 1, 2020 View Now
Why Modern Design Patterns are Critical Success Factors for Data Warehouses and Data Lakes
Learn about the current state of data design patterns and where successful data management and analytics professionals are taking them. We’ll explore trends and drivers for data design patterns and architectures for data warehouses and data lakes plus real-world use cases. August 26, 2020 View Now

Upside Articles

The Disruption of 2020 and the Implications for 2021
Long-term trends in data management and analytics have kept their integrity but with serious adjustments for COVID-19 and associated recession. December 22, 2020 Read More
The Growing Role of Data Lineage in Modern Data Management
Determining data’s origins and transformations as a way of understanding its business value, trustworthiness, quality, and applicability for specific use case. November 16, 2020 Read More
Modernizing Your Data Team and Its Best Practices
As you modernize your tools and platforms for data management to keep pace with evolving business requirements, take time to modernize your data team. October 15, 2020 Read More
Platform Architecture and Data Architecture Are Different but Related
Many people (even experienced data pros) confuse related architectures, weakening data-driven solution designs and their business use cases. September 4, 2020 Read More
Can the New Thing Replace the Old Thing?
This is an important question to ask about many new IT systems and tools. The answer depends on many factors -- including forming the question properly. July 20, 2020 Read More
The Evolution of Data Lake Architectures
For data lakes, as with any valuable enterprise data set, architecture is a requirement. But it is also a moving target, due to ongoing evolution. May 29, 2020 Read More

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