To measure data quality – and track the effectiveness of data quality improvement efforts – you need, well, data. Keep reading for a look at the types of data and metrics that organizations can...
Data quality is important to business. That you know. But do you understand what it takes to provide data quality We’ll review how data quality problems can arise. Briefly defined, data...
You’ve heard all about big data and the theory behind it, but do you know how data analytics are actually being used to change the way we work in the real world? Keep reading for an overview of big...
If you work with data, you’ve probably heard the term more than a few times, but what is data quality? Do you know what it actually means, and what data quality analysts do? If not, this...
Are you trying to understand big data and data analytics, but are confused by the difference between stream processing and batch data processing? If so, this article’s for you! Batch processing...
Leveraging data integration for vital insights How can business intelligence analyses be effectively conducted on data that comes from many different sources and locations, each with its own unique...
You know that big data involves lots of information. But have you ever stopped to think about just how much, exactly, goes into it? In other words, how big is big data, actually? Defining big data...
Hybrid and multi-cloud strategies can enable greater cost control and scalability for fast-growing big data. That is likely why 84 percent of enterprises have a multi-cloud strategy in 2020. ...
Even if you analyze your data in real time, storing data for extended periods is important for compliance and other reasons. But what types of data should be retained and how long should you keep it?...
