The growing dependence on information, plus the sheer amount of it, has led to something called the data downtime gap. Here's a look at what that is and how companies can address it.
The search for better data governance — including data mobility, data accuracy, compliance, cybersecurity and privacy — has led to the application of AI in new processes and a suite of new data handling tools.
Data governance helps remove uncertainties about how to handle customer data or why businesses need the information at all. In turn, customers appreciate a company's honesty and realize that providing data can create a mutually beneficial situation.
Kubernetes, also known as k8's, is an open-source container management tool that automates many parts of the deployment and management of containers that use to be done manually.
Countless articles advise today's business leaders to use the data they have, and you've probably read some of them. However, many people intend to start examining data but stop short of doing it.
If you want to transition to a data governance career, it's possible to do so and embark on a path that leads to lasting satisfaction and success. Here are some practical steps you should take.
Cloud companies offer convenience, but only if their data governance principles align with your needs. And, if customization is one of your top concerns, on-premise data governance gives you the most flexibility to make tweaks as your company evolves.