{"id":1044209,"date":"2021-03-28T00:00:00","date_gmt":"2021-03-28T00:00:00","guid":{"rendered":"https:\/\/www.beyondsoft.com\/sg\/customer-stories\/imagine-communications-boosts-performance-and-scalability-with-aws-cloud-migration\/"},"modified":"2021-03-28T00:00:00","modified_gmt":"2021-03-28T00:00:00","slug":"imagine-communications-boosts-performance-and-scalability-with-aws-cloud-migration","status":"publish","type":"customer-story","link":"https:\/\/www.beyondsoft.com\/jp\/en\/customer-stories\/imagine-communications-boosts-performance-and-scalability-with-aws-cloud-migration\/","title":{"rendered":"Imagine Communications boosts performance and scalability with AWS cloud migration"},"content":{"rendered":"

THE CHALLENGE<\/strong><\/p>\n\n\n

The Imagine Communications Research and Development data team challenge was twofold. First, they had to reduce prohibitive overhead and operational costs associated with developing a new product on Azure using Microsoft SQL Server. Second, they needed to deliver a new analytics platform built to leverage their existing analytic tools, provide instant elasticity, integrate multiple data sources, and reduce time to deliver new products and services.<\/p>\n\n\n

This analytics system transforms TV ratings data provided by Nielsen and ComScore spanning more than 200 geographic markets in a single serverless Data Lake.<\/p>\n\n\n

THE SOLUTION<\/strong><\/p>\n\n\n

After a thorough consultation and evaluation, the Beyondsoft Big Data team proposed a solution built on AWS cloud-native services, comprised of Athena, Glue, Redshift, and Redshift Spectrum. The project also included the easy deployment of Redshift clusters and event-driven pipelines to allow Imagine Communications to move large amounts of daily generated data to a Redshift cluster.<\/p>\n\n\n

Beyondsoft also implemented tuning and revision of the former workflow. Changes included:<\/p>\n\n\n