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TDWI Upside - Where Data Means Business

Data Quality


How Enterprises Can Democratize Mainframe Data

New options are available so IT leaders can break mainframe data silos.

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.

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

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

Why Data Operations Platforms Can't Survive without Governance

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

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.

Data Management: What’s Ahead for 2022

Data management has evolved into a very different discipline from what it was just 10 years ago.

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