To alleviate the drudgery of data preparation for your data science team, look for solution providers that are augmenting their data management platforms by using artificial intelligence, machine learning, and advanced analytics.
- By Troy Hiltbrand
- May 20, 2019
Applying DevOps-style test automation to your projects can guarantee a high level of data quality.
- By Wayne Yaddow
- March 22, 2019
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