Oracle Autonomous Database is the industry's first self-driving, self-securing and self-repairing cloud database. It combines decades of database automation techniques, and database infrastructure development, with the power of machine learning to deliver a fully autonomous database that revolutionizes data management for any type of workload. In this talk we will understand how Oracle achieved the autonomous vision, and peek under the hood to reveal the Top-5 transformational technologies the Oracle Autonomous Database is built on, making the world’s best database also the world’s simplest.
Shasank Chavan is the Vice President of the Data and In-Memory Technologies group at Oracle. He leads an amazing team of brilliant engineers in the Database organization who develop customer-facing, performance-critical features for an In-Memory Columnar Store which, as Larry Ellison proclaimed, “processes data at ungodly speeds”. His team implements novel SIMD kernels and hardware acceleration technology for blazing fast columnar data processing, optimized data formats and compression technology for efficient in-memory storage, algorithms and techniques for fast in-memory join and aggregation processing, and optimized in-memory data access and storage solutions in general. His team is currently hyper-focused on leveraging emerging hardware technologies to build Oracle's next-generation, highly distributed, data storage engine that powers the cloud. Shasank earned his BS/MS in Computer Science at the University of California, San Diego. He has accumulated 20+ patents over a span of 22 years working on systems software technology.