Big Fast Queries with Presto on OpenShift
Big Fast Queries with Presto on OpenShift

Abstract: 

Next generation data platforms are embracing the proliferation of technologies that help organizations discover, catalog, process, and derive insight from their data. OpenShift, and OpenShift Container Storage are at the forefront of this transition and provide a foundation for building a self service environment for developers, data engineers, and data scientists. In this demo we'll share how Starburst Presto on OpenShift can power your interactive and ad-hoc data discovery. SQL on anything means fast, secure access to data in OpenShift Container Storage, and federated access to data anywhere. With Starburst on OpenShift you have access to the world’s fastest open source SQL query engine, enterprise ready, across clouds public and private.
Presto, an open source distributed SQL engine, is widely recognized for its low-latency queries, high concurrency, and native ability to query multiple data sources. Proven at scale in a variety of use cases at Airbnb, Comcast, GrubHub, Facebook, FINRA, LinkedIn, Lyft, Netflix, Twitter, and Uber. In the last few years Presto experienced an unprecedented growth in popularity in both on-premises and cloud deployments over Object Stores, HDFS, NoSQL and RDBMS data stores.

Bio: 

Kamil is a technology leader in the large scale data warehousing and analytics space. He is CTO of Starburst, the enterprise Presto company. Prior to co-founding Starburst, Kamil was the Chief Architect at the Teradata Center for Hadoop in Boston, focusing on the open source SQL engine Presto. Previously, he was the co-founder and chief software architect of Hadapt, the first SQL-on-Hadoop company, acquired by Teradata in 2014. Kamil holds master's degrees in Computer Science from Yale University and Wroclaw University of Technology.