NoSQL Analytics: JSON Data Analysis and Acceleration in MongoDB World
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  Ajaykumar Gupte   Ajaykumar Gupte
Advisory Software Engineer
IBM Software Development, Distributed Database


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.
  1. Basic overview of JSON data management.
  2. Needs of Analytics queries on JSON data.
  3. Overview of IBM in-memory accelerator
  4. Using in-memory accelerator for JSON data
  5. 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.

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