Companies want to maximize the data they collect—whether it’s to better understand past events, predict future events, or find answers to questions not previously considered.
The mainframe has been around for approximately six decades. If your first reaction to that is, “Wow, and it’s still around?” you likely aren’t the only one.
Big data projects are meant to give companies the tools and insights they need to increase business value. All of that added value should make the initial project investment worth it.
It’s 2016, and the expectation for virtually any company is that they have to be on the cloud and they have to be mobile-friendly – that’s what their employees expect and that’s what their customers expect, right?
With its scale and processing capabilities, the mainframe is particularly well suited to running Big Data analytics. Now, a new tool is making it even easier for companies to leverage their existing infrastructure with Apache Spark, one of the most popular analytics platforms on the market.