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TDWI Upside - Where Data Means Business

Data Management


5 Things to Consider When Operationalizing Your Machine Learning

Operationalizing machine learning models requires a different process than creating those models. To be successful at this transition, you need to consider five critical areas.

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.

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.

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