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TDWI Upside - Where Data Means Business

IT and Enterprise Data Management


When Preparing Data for Machine Learning, Avoid These Common Mistakes

Follow these tips to ensure your machine learning training data is the best it can be.

Achieving Scalable, Agile, and Comprehensive Data Management and Governance (Part 3 of 3)

In the last part of our three-part series, Kevin Bohan, director of product marketing with Denodo, and Liam Yu, product marketer with Hitachi Vantara, discuss the new Best Practices Report on achieving scalable, agile, and comprehensive data management and data governance.

Achieving Scalable, Agile, and Comprehensive Data Management and Governance (Part 2 of 3)

Danny Sandwell, senior solutions manager with Quest, and Conor Jensen, field CDO with Dataiku, discuss the new TDWI Best Practices Report on achieving scalable, agile, and comprehensive data management and data governance.

Achieving Scalable, Agile, and Comprehensive Data Management and Governance (Part 1 of 3)

David Stodder, senior research director for business intelligence with TDWI, discusses his newest Best Practices Report, which covers how to achieve the best in data management and governance.

Data Digest: Addressing Concerns about AI and ML

Systemic ML problems, reservations about AI applications in healthcare, and advice for businesses governing AI.

A Dimensional Modeling Primer with Mark Peco

Mark Peco, long-time TDWI faculty member and industry consultant, discusses the basics of dimensional modeling -- including a preview of his courses at TDWI Orlando.

Data Management in the Age of AI

Fern Halper, TDWI vice president and senior research director for advanced analytics, discusses data management in the age of AI -- including exciting use cases and potential challenges.

Data Digest: Working in the Cloud

How DBAs can adapt to work in the cloud, the importance of real-time cloud data, and the benefits of industry cloud platforms.

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