You have a big data project. You understand the problem domain, you know what infrastructure to use, and maybe you’ve even decided on the framework you will use to process all that data, but one ...

Big Data analytics requirements have forced a huge shift in data storage paradigms, from traditional block- and file-based storage networks to more scalable models like object storage, scale-out NAS ...

Memory management can be challenge enough on traditional data sets, but when big data enters the picture, things can slow way, way down. A new programming language announced by MIT this week aims to ...

Big data refers to datasets that are too large, complex, or fast-changing to be handled by traditional data processing tools. It is characterized by the four V's: Big data analytics plays a crucial ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...