TDWI Articles

Contributor: Barry Devlin

Dr. Barry Devlin, founder and principal of 9sight Consulting, is among the foremost authorities on business insight and big data, and is one of the founders of data warehousing, having published the first architectural paper on the topic in 1988. With over 30 years of IT experience, including 20 years with IBM as a Distinguished Engineer, he is a widely respected analyst, consultant, lecturer and author of the seminal book, “Data Warehouse—from Architecture to Implementation” and numerous White Papers. His new book “Business unintelligence—Insight and Innovation beyond Analytics and Big Data” is published later this year. A regular contributor to multiple publications, Barry is based in Cape Town, South Africa and operates worldwide.

  

All articles by Barry Devlin


Anonymized Data: Think Again (And Again)

Another month, another study shows anonymization failing to protect personal identities in big data sets used widely for analytics and machine learning. What's to be done?

It's Actions, Not Analytics, That Count

Executives who make decisions and act upon them face mainly organizational challenges to deliver business value. They need better technology support.

What Spreadsheets Can Teach Us About Analytics

With the current explosion of analytics, the data management lessons we didn't learn with spreadsheets have returned with a vengeance. Help is at hand.

The Path to Protecting Privacy

Regulators continue to encourage privacy protection, but the public response is mostly "So what?" How should we defend privacy in the digital world?

Choosing Augmentation Over Automation in AI

On the AI journey, automation is often the default, depopulated destination. We must consciously choose to empower humans via augmentation.

Combining SQL and NoSQL to Support Information Context

A combination of relational and non-relational technologies opens the path for the level of adaptive, contextual information management urgently needed by modern business.

The Death of Hadoop?

Is Hadoop dead? Not so fast. Plan on supporting multiple environments for some time to come.

Models in Times of Uncertainty

Data models seem to represent the real world, but a model can be misleading if the relationship between truth and information is not understood.

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