A data hub is an amalgamation of various data technologies; data warehouse, engineering and data science, that helps effectively determine where, when, and for whom data needs to be mediated, shared, and then linked and/or persisted. It is a modern place for data...
The banking sector has always been data-driven. Banks record millions of business transactions daily. The volume of data generated by banks is not just large but also real-time in nature. While digital banking is used by almost half of the world’s adult population,...
If you are associated with an organization that is subject to HIPAA (Health Insurance Portability and Accountability Act), then chances are that you’ve often come across the terms PHI and ePHI. But what exactly are they, and is there a difference between them? And how...
Big data integration, as the name suggests, involves extracting data from disparate sources, combining them, and then analyzing them to get valuable insights. Albeit sounding simple, it is a complicated process that processes and stores huge datasets that can be...
Are you looking for an efficient way to integrate disparate cloud systems together to synchronize various applications and share data in real-time? If yes, then you need to adopt cloud data integration into your system! Cloud data integration is the practice of...
A data lake, put simply, is a collection of raw data in the form of BLOBs (Binary Large Objects) or files. A data lake is an archive for structured, semi-structured, and unstructured data from a wide variety of sources. Data lakes allow you to store data in its native...
