Name: M.C. Srivas: Rethinking SQL for Big Data
Start: 2014-08-05T18:00:00+10:00
End: 2014-08-05T20:00:00+10:00
Location: NICTA (Level 4, Seminar Room)

Hi All,

Hope you can all come and join us to hear from the CTO and Co-founder of MapR!

Following our last successful Meetup at NICTA, we thought we would have it again at the same venue.

MapR will be sponsoring Pizza and Drinks. NICTA will be providing the venue.

Cheers,

Rami

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Rethinking SQL for Big data – Don’t compromise on flexibility or performance:

M.C. Srivas CTO & CoFounder of MapR

Can I reduce the time to value for my business users on Hadoop data?

How can I do SQL on semi-structured types?

How do I create and manage schemas for my data when the applications are changing fast?

What types of distributed systems problems do I have to solve when you move beyond traditional MPP scale to Hadoop scale?

Overall, a new way of thinking is needed to bring end-to-end agility with the BI/Analytics environments operating on Hadoop/NoSQL data. Along with the table stakes requirements to support broad eco system of SQL tools, close attention must be paid to the new requirements such as working with flexible and fast changing data models, semi-structured data and achieving low latencies on the scale of ‘big’ data. This session will cover how Apache Drill is driving this audacious goal to bring Instant, Self Service SQL natively on Hadoop/NoSQL data without compromising either the flexibility of Hadoop/NoSQL systems or the low latency required for BI/Analytics experience. It covers the exciting architectural challenges the Apache Drill community is working with, progress made so far and the roadmap.

Rami Mukhtar

Big Data Analytics

Technology

Big Data

Machine Learning

Data Analytics

Cloud Computing

High Scalability Computing

Data Visualization

Data Science

Predictive Analytics

Data Management