Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Arun Kejariwal

Arun Kejariwal
Statistical Learning Principal, MZ

@arun_kejariwal

Arun Kejariwal is a statistical learning principal at Machine Zone (MZ), where he leads a team of top-tier researchers and works on research and development of novel techniques for install and click fraud detection and assessing the efficacy of TV campaigns and optimization of marketing campaigns. In addition, his team is building novel methods for bot detection, intrusion detection, and real-time anomaly detection. Previously, Arun worked at Twitter, where he developed and open-sourced techniques for anomaly detection and breakout detection. His research includes the development of practical and statistically rigorous techniques and methodologies to deliver high-performance, availability, and scalability in large-scale distributed clusters. Some of the techniques he helped develop have been presented at international conferences and published in peer-reviewed journals.

Sessions

9:00am12:30pm Tuesday, March 6, 2018
Secondary topics:  Graphs and Time-series
Karthik Ramasamy (Streamlio), Sanjeev Kulkarni (Streamlio), Sijie Guo (Streamlio), Arun Kejariwal (MZ)
Average rating: *****
(5.00, 2 ratings)
Across diverse segments in industry, there has been a shift in focus from big data to fast data. Karthik Ramasamy, Sanjeev Kulkarni, Arun Kejariwal, and Sijie Guo walk you through state-of-the-art streaming architectures, streaming frameworks, and streaming algorithms, covering the typical challenges in modern real-time big data platforms and offering insights on how to address them. Read more.
4:20pm5:00pm Wednesday, March 7, 2018
Data engineering and architecture
Location: Expo Hall 1
Secondary topics:  Expo Hall
One of the key application domains leveraging live data is smart cities, but success depends on the availability of generic platforms that support high throughput and ultralow latency. Arun Kejariwal and Francois Orsini offer an overview of Satori's live data platform and walk you through a country-scale case study of its implementation. Read more.