Data quality is crucial – it assesses whether information can serve its purpose in a particular context (such as data analysis, for example). So, how do you determine the quality of a given set of...

By now, you’ve heard how valuable data can be, how it can drive your company forward, how you can use it to make better decisions. There’s a caveat there, of course. Information is only valuable...

In this article you’ll learn what streaming data pipelines are, how they work, and how to build this data pipeline architecture.  Enterprise technology is entering a watershed moment: no...

Can your current data architecture handle the massive influx of data that is coming into the enterprise every day? If not, it’s time to think about modernizing your data architecture to ensure you...

Developing a data quality framework is reminiscent of herding cats. You have to bring together disparate groups to establish a set of standards to maintain data quality, when these groups don’t...

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...

Data quality is crucial, though there are few industries in which it’s a life-or-death issue. The healthcare field is a notable one – a missing value, an additional value, or the wrong value...

Your data is only valuable if its quality is high. The best way to achieve high data quality is through data profiling. Yet, what is the most effective (as well as cost-effective) way to carry out...

Change data capture is a necessity. In order to ensure that the changes you’ve made over time in one data set are automatically transferred to a second data set, you must ensure that change data...