Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Igor Canadi

Igor Canadi
Software Engineer, Rockset

Website

Igor Canadi is a software engineer at Rockset, where he is developing its data indexing and distributed SQL query engine. Previously, Igor was an engineer at Facebook, working on the database engineering and product infrastructure teams, where he contributed to RocksDB, developed MongoRocks and MongoDB with RocksDB storage engine, drove RocksDB open source initiatives, worked on core GraphQL infrastructure for Facebook’s Android application, and owned GraphQL developer tooling for hundreds of developers. Igor holds a master’s degree in computer science from the University of Wisconsin-Madison and a bachelor’s degree from the University of Zagreb. In his free time, he likes sailing and snowboarding.

Sessions

3:50pm–4:30pm Thursday, March 28, 2019
ROCKSET: The design and implementation of a data system for low-latency queries for search and analytics
Data Engineering & Architecture
 Location: 2002
Secondary topics:  AI and Data technologies in the cloud, Storage, Streaming, realtime analytics, and IoT
Igor Canadi (Rockset), Dhruba Borthakur (Rockset)
Average rating: ****.
(4.00, 1 rating)
Most existing big data systems prefer sequential scans for processing queries. Igor Canadi and Dhruba Borthakur challenge this view, offering an overview of converged indexing: a single system called ROCKSET that builds inverted, columnar, and document indices. Converged indexing is economically feasible due to the elasticity of cloud-resources and write optimized storage engines. Read more.