Thursday, August 21, 2014
08:30 AM - 09:15 AM
|Level: ||Technical - Intermediate|
MongoDB and other NoSQL solutions are designed for big data processing. In analytics world, when you need to process many millions or billions of documents to generate a single report. Novel techniques have been developed for exploiting modern processor architecture (larger on-chip cache, SIMD processing, compression, vector processing, columnar approach). Now, this technology is available to process your large JSON data.
- Basic overview of JSON data management.
- Needs of Analytics queries on JSON data.
- Overview of IBM in-memory accelerator
- Using in-memory accelerator for JSON data
- Demo/Performance discussion.
This talk will discuss analysis of JSON data using advanced data warehousing techniques and make it simple and seamless for the application/tool developer.
Ajaykumar Gupte is a developer at IBM, working on NoSQL Hybrid model & Query processing for IBM Informix database R&D.
He has 18 years of product development experience with IBM Informix database. He has developed features in the NoSQL hybrid technology with MongoDB API, NoSQL Sharding & Aggregation techniques, Distributed databases, Parallel Data Query, Hierarchical Data model, Derived table, View optimization & Data fragmentation. He holds a Bachelors degree in Computer Engineering from university of Mumbai, India.