Presented By O'Reilly and Cloudera
Make Data Work
Dec 4–5, 2017: Training
Dec 5–7, 2017: Tutorials & Conference
Singapore
Supreet Oberoi

Supreet Oberoi
Vice President of Engineering, IoT & Big Data, Oracle

Website

Supreet Oberoi is vice president of engineering, IoT, and big data at Oracle. A technology executive with over 20 years of experience building products and solutions for real-time, distributed, and big data analytical applications, Supreet has held technical and leadership roles at Oracle, Concurrent, American Express, Real-Time Innovations, Agile, Microsoft, and many other privately held Silicon Valley companies. He is also the lead mentor for Stanford student startup accelerator startX. Supreet holds a BS in computer sciences with highest honors from the University of Texas at Austin and an MS in computer sciences from Stanford University. He is widely published and often presents at conferences. In his free time, Supreet is reconnecting with an old passion—painting.

Sessions

2:35pm3:15pm Thursday, December 7, 2017
Supreet Oberoi (Oracle)
Average rating: ****.
(4.00, 1 rating)
Time series data is any dataset that is plotted over a range of time. Often, in IoT use cases, what is of interest is finding a pattern in the sequence of measurements. However, queries on time series data do not traditionally scale. Supreet Oberoi explains how Oracle adapted and extended symbolic aggregate approximation (SAX) to solve such challenges. Read more.