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TDWI Articles

Data Digest: Upcoming Trends in Data Management, Technology, and Data Science

The new year brings new predictions for those who manage data platforms, work with enterprise IT, and apply advanced analytics.

Four Data Preparation Trends to Watch in 2019

From privacy to pricing, scalability to self-driving technology, 2019 will be a crucial year for data prep advancements.

Great Machine Learning Needs Careful Data Engineering

A new TDWI Checklist Report examines best practices for data engineering and management to support machine learning with a focus on collecting, cleansing, transforming, and governing new and big data for analysis.

How to Get Smarter About Availability

By choosing a high-availability solution that is smart, your enterprise will enjoy the flexibility it needs to adapt and thrive in today's business climate.

How Data Catalogs Accelerate Decisions, Boost Productivity

Delayed decisions mean delayed benefits. With data catalogs, everyone from data scientists to self-service BI users can benefit from useful information about their data.

4 Reasons to Use Graphs to Optimize Machine Learning Data Engineering

Semantic knowledge graphs accelerate data engineering for machine learning, helping you maximize results.

How the Trust Gap Is Holding Back Data-Driven Decisions

Why data catalogs just might be the final mile for analytics innovation.

Going Agnostic: Meeting an Enterprise's Changing Mobile BI Needs

Enterprises must become platform-agnostic to meet employees' new expectations, but there are challenges to overcome. These best practices can help.

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