In the past decade, big data has made headlines for its ability to provide answers to crucial questions. However, what these stories tend not to focus on is that big data is only useful when you have...
You hear about big data all day long, but do you know how it is used in the real world? Here’s a look at examples where big data solved real problems. Big data examples in practice One of the...
Snowflake has garnered attention for its architecture which allows for the separation of storage and compute which allows each piece to scale individually. In turn, it helps people share data in real...
With the advent of distributed processing and the cloud, many predicted that the mainframe would eventually fade away. In fact, just the opposite is happening. According to a recent survey, the...
The mainframe scene remains vibrant. Yet mainframe training resources can be tough to find. As young mainframe programmers can attest, few university computer science departments teach mainframe...
Gartner reports that integration work accounts for half of the time and cost of building a functioning digital platform. Why does data integration take up so much time and money? There are several...
Machine learning (ML) has come to the mainframe, and with it the ability to analyze (and monetize) mainframe data in place. “Mainframes generate a massive volume of useful but overwhelming data...
Raise your hand if this situation sounds familiar: you need to make a decision right away based on the most accurate, up-to-date information. However, the information resides in a number of different...
To the consternation of IT professionals everywhere, data security challenges continue to evolve each year. Precisely’s Annual Security Survey for 2019 highlighted the challenge of the adoption...
