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...
Enterprise technology is entering a watershed moment: no longer do we access information once a week, or even once a day. Now, information is dynamic. In fact, business success is based on how we use...
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...
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...
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...
Streaming data pipelines enable companies to process large amounts of information from a wide variety of sources across the enterprise. However, these pipelines are still a recent innovation for many...
