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TDWI Upside - Where Data Means Business

IT and Enterprise Data Management


Data Lakehouses: The Key to Unlocking the Value of Your Unstructured Data

To reap the benefits of a data lakehouse, your organization needs to approach implementation the right way. Here are three best practices to help you.

Data Digest: Measuring Climate Data and Protecting Personal Data

More enterprises need to measure their sustainability, protect or not collect personal data, and manage internal security threats.

Q&A: The Revival of the Column-Oriented Database

In this Q&A, Edgemesh CEO Jake Loveless talks about column-oriented databases and the advantages they hold over ordinary row-oriented versions.

Data Digest: Data Governance and Stewardship

Implementing initial data governance for BI, today’s data governance guidelines, and the value of data stewardship.

3 Ways NoSQL Can Be Part of Your Data Architecture

As big data becomes more commonplace, it is important for data management teams to be able to understand where NoSQL fits into their architectures.

Executive Q&A: Data Management Best Practices for Changing Times

Pandemic-driven work-from-home employees have complicated data management. Fred Forslund, VP of enterprise and cloud erasure solutions at Blancco, explains why enterprises should act and offers best practices to follow.

Data Digest: Succeeding with AI/ML

How and why to improve your AI/ML projects.

Solving “Bad Data” -- A $3 Trillion-Per-Year Problem

Data quality is still a struggle for many enterprises, and new types of data and input techniques are adding to the burden. Jonathan Grandperrin, CEO of Mindee, explains the impact of bad data and how enterprises can use deep learning and APIs as part of their “good data” strategy.

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