Case Study
Looker for Amazon Redshift
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