{"id":1044211,"date":"2021-03-28T00:00:00","date_gmt":"2021-03-28T00:00:00","guid":{"rendered":"https:\/\/www.beyondsoft.com\/sg\/customer-stories\/leading-digital-advertising-agency-advances-data-analytics-using-vertica-on-aws-cloud\/"},"modified":"2024-02-20T02:50:29","modified_gmt":"2024-02-20T02:50:29","slug":"leading-digital-advertising-agency-advances-data-analytics-using-vertica-on-aws-cloud","status":"publish","type":"customer-story","link":"https:\/\/www.beyondsoft.com\/sg\/customer-stories\/leading-digital-advertising-agency-advances-data-analytics-using-vertica-on-aws-cloud\/","title":{"rendered":"Leading digital advertising agency advances data analytics using Vertica on AWS cloud"},"content":{"rendered":"\n

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

The client wanted to use their business intelligence tool to query their historical data for 90 days in under two seconds with more than 80 concurrent users. Their current system included data in Hadoop clusters and Infobright DB on-premise cluster, which was unable to handle their data analytics requirements.<\/p>\n\n\n

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

Beyondsoft\u2019s Big Data consulting team proposed a solution using Vertica, a columnar database on Amazon Web Services (AWS). The AWS cloud solution would provide the added scalability, elasticity, and performance that the customer wanted. The project consisted of creating Vertica clusters in a repeatable manner and a pipeline-based approach for Vertica DDL. It also included moving large amounts of data daily to the Vertica cluster.<\/p>\n\n\n

The project consisted of three phases:<\/strong><\/p>\n\n\n