Importance of Semantics and Standards in the World of Big Data - The Distributed ODS approach

Puran Parekh
CEO
iASYS Pvt. Ltd.

 

Demonstrate how ODS semantics and Data Model concept can help bringing semantics to big data which can indirectly be very helpful in writing Artificial intelligence and Machine Learning algorithms:

 

  1. It's time to think beyond traditional ASAM ODS application, usage and coding!
  2. It's time to bring Big Data technologies to usable ground in the Measurement and Simulation domain today!
  3. It's time to open new computation horizons and securing investments without compromising backward compatibility!

 

The well-designed and proven ASAM ODS Semantics and Data Models will play an indispensable and essential role in Distributed Processing , Artificial intelligence and Machine Learning in the Measurement and Simulation domain.


This presentation is intended to give an fundamental insight into challenges and solutions of distributed applications - processing streams, files and databases for Validation, analysis, reporting, archiving and machine learning.


The feasibility of the Distributed ODS Approach will be demonstrated by a new breed of product (BRIX) in a combined Microsoft Azure/Linux environment bringing Cloud Computing for Measurement and Simulation at your fingertips at unprecedented speed levels in deployment, execution and maintenance.