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TDWI Upside - Where Data Means Business

Data Lakes and Data Storage


Ease of Use Meets AI: BI and Business Analytics Trends in 2019

TDWI analyst David Stodder looks at the major trends of the year and offers 3 BI trends worth watching in 2019.

That Was the Year That Was: Major BI Events of 2018 (And Predictions for 2019)

Industry analyst Michael Schiff shares the results of last year’s predictions and what he foresees in the coming year.

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.

Emerging Practices in Location Data Management and Analytics

Traditional geographic data combined with new geocoding is giving business operations and analytics greater precision and innovation.

How to Avoid the Hazards of Big Data Projects

A new TDWI report looks at six things your enterprise can do to avoid pitfalls and maximize the benefits of big data integration and analytics projects.

Data Governance: Benefits and Best Practices

What can data governance do for your enterprise, and how can you improve your data governance program? Semarchy's Michael Hiskey offers some perspective.

Minimizing the Complexities of Machine Learning with Data Virtualization

How the features and benefits of data virtualization can make working with data easier and more efficient.

Data Requirements for Machine Learning

Machine learning can enable new forms of predictive analytics and embed algorithm-driven intelligence into many software applications. However, none of that is possible without the right data, captured and processed the right way.

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