Mainframes originated in the 1950’s – longer ago than many people reading this. If mainframes are so old, why do they remain an important IT resource across so many industries? Why do we...
Understanding the importance of data availability is easy enough. Actually achieving high data availability, however, is harder. If you’re wondering how you can improve data availability, keep...
You hear all the time about how important it is to encrypt data. But what does encryption actually mean? Which best practices should you follow when encrypting your data? Which tools are available...
What stands in the way of high availability and your data? Keep reading for a list of common reasons why data may become unavailable. Highly available data means data that is accessible virtually...
You know quality data is important for business. But do you know just how important – in terms of cold, hard cash – it is, or how to maximize data’s value? If not, this post is for you. It’s...
Making the most of big data requires not just having the right big data analytics tools and processes in place, but also optimizing your big data infrastructure. How can you do that? Read on for tips...
When it comes to big data, there are two main ways to process information. The first – and more traditional – approach is batch-based data integration. The second is real-time integration....
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...
Achieving high availability for data is tough. The best-laid data infrastructures often go awry for a variety of reasons, and they bring data availability down with them. What are those things that...
