The Wall Street Technology Association's "Delivering Big Data" Seminar will include the new approaches to handling the challenges of Big Data – when to go from legacy data to the Big Data constructs, how to secure the data in the new physical data stores, how to maintain data lineage, what should the new governance model be, how to handle computing resource crunches, and what to design for real time and what to run in batch.
M.C. Srivas View Bio
As Hadoop gains traction within enterprise data architectures in the financial services industry, the need for SQL on both semi-structured and nested data stored in Hadoop is growing rapidly. This presentation will cover:
- The architecture that enables low latency queries at scale on a wide range of data formats
- Use cases that require flexible data models and instant analytics
Srivas is MapR's co-founder. Srivas ran one of the major search infrastructure teams at Google where GFS, BigTable and MapReduce were used extensively. He wanted to provide that powerful capability to everyone, and started MapR on his vision to build the next-generation platform for semi-structured big data. That vision is shared by all at MapR. Srivas brings to MapR his experiences at Google, Spinnaker Networks, Transarc in building game-changing products that advance the state of the art.