Automation is the future of business. If your enterprise doesn't adopt a powerful, holistic application integration strategy, it may lose out to competitors that do.
- By Rico Andrade
- August 20, 2019
How to cut the costs and boost the benefits of your ETL program.
- By Mike Brody
- August 19, 2019
We offer four best practices that will help you do data prep the right (and efficient) way.
- By Wayne Yaddow
- August 16, 2019
To manage geographically distributed data at scale worldwide, global organizations are turning to cloud and hybrid deployments.
- By Philip Russom
- July 26, 2019
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