Case Study

Looker for Amazon Redshift

Looker for Amazon Redshift

Pages 9 Pages

In the post-cloud era, the traditional data warehousing (DW) model of moving “all data from everywhere” into an on-premise megaserver for advanced analytics breaks down. Many data-savvy, born-of-the-web companies are looking for a more streamlined solution that can exploit the scale and economics of the cloud. This is what Looker and Amazon Redshift provide. Technical Overview Amazon Redshift is a fully managed, high-performance MPP data warehouse solution in the cloud that can scale up to a petabyte or more, while costing an order-of-magnitude less than legacy data warehousing solutions. Looker is a business intelligence and data exploration platform that allows users of all skill levels to explore and visualize data stored in AWS Redshift and other SQL databases. Looker unlocks all

Join for free to read