In the era of big-data, all businesses yearn to be data-driven in their decision making processes. Rather than act on hunch, they’d prefer to observe and measure, then make decisions accordingly. That’s a laudable standard but it raises the bar.

A culture driven by data, in turn, drives a desire for real-time, streaming data. ​Streaming data processing is beneficial in most scenarios where new, dynamic data is generated on a continual basis. It has ​become quite trendy since the creation of the internet of things (IoT).

At DSmart, we make use of data integration tools that can process ​and  transfer live datasets from multiple endpoints or nodes. Streamed data can be used to monitor endpoint performance and user behavior, as well as expand data warehousing capabilities.