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TDWI Upside - Where Data Means Business

Data Management


Myth-Busting DataOps: What It Is (And Isn’t)

What is DataOps and how does it fit into the modern enterprise?

Data Digest: Preventing Fraud and Managing Data Privacy

How predictive analytics is used for fraud prevention, data privacy management, fraud potential in mobile apps.

Why Data Operations Platforms Can't Survive without Governance

We explore the three pillars of governance: trust, interoperability, and collaboration.

Data Digest: Predictions for AI, Data Management, and Big Data

More predictions and advice for using AI, data management, and big data in 2022.

Enabling Citizen Data Analysts in the Post-Hadoop World

The New Year will feature the fallout from the void left by Hadoop's decline.

Q&A: The Fundamentals of Data Quality (Part 2 of 2)

In this Q&A, the authors of O'Reilly's first-ever book on data quality answer questions about how data teams are architecting systems for reliability and trustworthiness.

Q&A: The Fundamentals of Data Quality (Part 1 of 2)

In this Q&A, the authors of O'Reilly's first-ever book on data quality answer questions about how data teams are architecting systems for reliability and trustworthiness.

Agility, Speed, and Trust: Driving Business Data Strategies in 2022

Here's a look at what's ahead in business data and analytics strategies and solutions in three key areas.

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