Early adopters of the data lake have arrived at a maturation stage where they need to modernize their platforms before expanding their implementations.
- By Philip Russom
- March 15, 2019
Is it possible to keep data preparation processes from becoming unmanageable?
- By Ian Macdonald
- February 15, 2019
The new year brings new predictions for those who manage data platforms, work with enterprise IT, and apply advanced analytics.
- By Upside Staff
- January 3, 2019
From privacy to pricing, scalability to self-driving technology, 2019 will be a crucial year for data prep advancements.
- By Piet Loubser
- December 17, 2018
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
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.
- By James E. Powell
- November 15, 2018
Semantic knowledge graphs accelerate data engineering for machine learning, helping you maximize results.
- By Sean Martin
- November 9, 2018