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

Karthik Ramasamy
Cofounder and CEO, Streamlio

@karthikz

Karthik Ramasamy is the cofounder of Streamlio, a company building next-generation real-time processing engines. Karthik has more than two decades of experience working in parallel databases, big data infrastructure, and networking. Previously, he was engineering manager and technical lead for real-time analytics at Twitter, where he was the cocreator of Heron; cofounded Locomatix, a company that specialized in real-time stream processing on Hadoop and Cassandra using SQL (acquired by Twitter); worked briefly on parallel query scheduling at Greenplum (acquired by EMC for more than $300M); and designed and delivered platforms, protocols, databases, and high-availability solutions for network routers at Juniper. He’s the author of several patents, publications, and one best-selling book, Network Routing: Algorithms, Protocols, and Architectures. Karthik holds a PhD in computer science from the University of Wisconsin–Madison with a focus on databases, where he worked extensively in parallel database systems, query processing, scale-out technologies, storage engines, and online analytical systems. Several of these research projects were spun out as a company later acquired by Teradata.

Sessions

9:00am–12:30pm Tuesday, March 6, 2018
Modern real-time streaming architectures
Data engineering and architecture, Streaming systems and real-time applications
 Location: 210 B/F
Secondary topics:  Graphs and Time-series
Karthik Ramasamy (Streamlio), Sanjeev Kulkarni (Streamlio), Sijie Guo (StreamNative), Arun Kejariwal (Independent)
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.
11:50am–12:30pm Thursday, March 8, 2018
Effectively once, exactly once, and more in Heron
Data engineering and architecture, Streaming systems and real-time applications
 Location: 230 A
Karthik Ramasamy (Streamlio), Sanjeev Kulkarni (Streamlio)
Average rating: ****.
(4.00, 1 rating)
Stream processing systems must support a number of different types of processing semantics due to the diverse nature of streaming applications. Karthik Ramasamy and Sanjeev Kulkarni explore effectively once, exactly once, and other types of stateful processing techniques, explain how they are implemented in Heron, and demonstrate how your applications will benefit from using them. Read more.