Building a Repeatable Data Integration Framework
According to Precisely’s definition of the term, data integration refers to the requirement to combine data from multiple separate business systems into a single unified view, often called a...
According to Precisely’s definition of the term, data integration refers to the requirement to combine data from multiple separate business systems into a single unified view, often called a...
Could a multi-cloud architecture improve your data management strategy? That’s a question more and more companies are likely to ask themselves as multi-cloud computing grows in popularity. What...
Mainframes were developed long before anyone was thinking about the trends and technologies that define modern computing. Concepts like open source software were decades away from emerging when the...
Data socialization is one of the newest buzzwords in the world of data analytics and management. What does data socialization mean, and what can it do for you? Find out in this post. What is data...
Most software is of little use without data to feed into it. When the data is bad, the software performs poorly. Whose job is it to make sure that the data that applications use is of high quality?...
You’ve probably witnessed it, and maybe are doing it. Many organizations are just dumping as much data into a data lake as they can, trying to get to every data source in an enterprise and putting...
What is change data capture? Does it have any importance or bearing on the work that you do? We’ll answer the first question shortly, but the answer to the second question is most certainly...
Delivering an excellent user experience is essential to attracting and retaining customers. And although data management may not be the first thing that comes to mind when you think about optimizing...
If you’re like most organizations, you collect a lot of dark data – which means data that you don’t put to work. But your data doesn’t have to stay dark. Keep reading for examples...