Data Pipelines

Data Pipelines requires careful planning.

With maturing of the Internet and the ever increasing amounts of data collected every application is a data application.In many cases Data applications now need process large amounts of rapidly changing data. To support use cases including: retail; logistics; health and security analytics; IOT; machine learning, and embedded analytics.