The state of the world's information systems are changing and so should your data processing habits. As the cloud takes precedence in IT environments, different systems that run the modern enterprise are not on the same network or system. These systems have data that business users need to leverage on a day to day and sometimes on an immediate basis.
As big data evolves, we have seen movements from batch processing to micro-batches, to stream processing. All of this is great but folks still need to connect the internet together somehow to access the data.
This discussion is about the new problems in business today and how to think about an asynchronous data processing framework that leverages both services oriented architecture and message oriented architecture.
Asynchronous Data Processing w/ Services + Message Oriented Architecture
• Thoughts of why "Asynchronous" is the Future
• Discussion about Batch, Micro-Batch, Streaming
• Difference between a Queue / Enterprise Service Bus
• Proposed Architecture for Asynchronous Data Processing
Rahul Singh is a technology minded business person and a business minded technologist. As CEO of a company devoted to solving the most difficult problems in streamlining, organizing, and unifying business information, he is responsible for training the team, overseeing and creating technology with the research and development team, and fostering client and service partner relationships.
Although he’s programmed in over 30 computer languages and has worked with numerous platforms, frameworks, and libraries across all major internet software systems, he likes to spend his time sharpening his skills in information retrieval (search), knowledge management, business information systems, and machine learning to come up with ideas for a smarter, more modern enterprise.