How to Use Machine Learning to Improve Data Quality
Everyone knows that data is valuable — as long as it’s of high quality. At many companies, that’s sadly not the case. There can be errors lurking in your digital information, and those errors...
Everyone knows that data is valuable — as long as it’s of high quality. At many companies, that’s sadly not the case. There can be errors lurking in your digital information, and those errors...
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...
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...
What steps can you take toward achieving compliance that are efficient yet effective? Read on to learn more about upcoming privacy regulations and the tools you can implement to make achieving data...
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...
Over the past several years, Splunk has become a definitive leader in analyzing log data, giving its customers the power to turn the insights from this machine data into action. Splunk enables users...
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...