3 Real-World Examples of Data Transformation
Data transformation is a buzzword you hear frequently in the age of big data (even though data transformation’s significance is not limited just to big data). And while it’s easy to...
Data transformation is a buzzword you hear frequently in the age of big data (even though data transformation’s significance is not limited just to big data). And while it’s easy to...
When it comes to data processing, there are more ways to do it than ever. Your choices include real-time, near real-time, and batch processing. How you do it and the tools you choose depend largely...
If you’re using ServiceNow and have traditional IBM environments, there’s an excellent chance that ServiceNow can’t discover them. That’s a problem, because there’s still quite a bit of...
Virtually everything in your business depends on IT running smoothly. For most enterprises, service outages result in lost productivity, missed opportunities for revenue, and sometimes severe...
Corporate IT environments have evolved greatly over the past decade. Most companies are running systems across a mix of on-premise data centers and public, private, or hybrid cloud environments. That...
Most data scientists do not manufacture drugs, and most pharmacologists are not also data scientists. Still, the pharmaceutical industry depends heavily on data scientists – especially when it...
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...
ETL data (extract, transform and load) has for years been a workhorse technology for enabling analysis of business information. But now it’s being joined by a new approach, called data preparation...
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...