Case Study

Dremio SQL Lakehouse Platform

Dremio SQL Lakehouse Platform

Pages 8 Pages

© Dremio 2021 dremio.com Get Started WHITEPAPER Dremio SQL Lakehouse Platform© Dremio 2021 Executive Summary Data architectures today are required to rapidly adapt to the enormous zettabytes of data created by modern-day users and applications. Not only is the data growing exponentially, but user requests for data are also growing very fast. Everybody wants access to the data and wants to query it themselves. Executives and IT leaders want to empower their business users to have timely and self-service access to organizational data, so that they can support new initiatives and evolving business needs. Moreover, nowadays since it has become incredibly cheap and easy to store near-infinite amounts of data in cloud data lake storage like AWS S3, Azure ADLS and Google Cloud Storage,

Join for free to read