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.
- By James E. Powell
- December 5, 2018
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.
- By Don Boxley
- November 28, 2018
Semantic knowledge graphs accelerate data engineering for machine learning, helping you maximize results.
- By Sean Martin
- November 9, 2018
Traditional geographic data combined with new geocoding is giving business operations and analytics greater precision and innovation.
- By Philip Russom
- October 31, 2018
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.
- By James E. Powell
- October 17, 2018
A graph database trying to connect everything, a standard language for querying graph databases, and a case study for IoT and predictive maintenance.
- By Upside Staff
- October 11, 2018
What can data governance do for your enterprise, and how can you improve your data governance program? Semarchy's Michael Hiskey offers some perspective.
- By James E. Powell
- October 8, 2018
How the features and benefits of data virtualization can make working with data easier and more efficient.
- By Alberto Pan
- September 21, 2018