This article details how BookMyShow migrated its 15-year-old analytics platform to AWS, achieving 80% cost savings in analytics spend and 90% in storage costs within four months.

• Consolidated 40TB on-premises and 80TB cloud data into unified AWS data lake architecture
• Replaced multiple siloed data stores with single source of truth using Amazon S3
• Migrated 200+ ingestion jobs using AWS Glue, Amazon EMR, and serverless services
• Implemented Amazon Redshift data warehouse with materialized views for reporting
• Deployed ML models on Amazon SageMaker with orchestration via Amazon MWAA
• Built Amazon QuickSight dashboards for sales, marketing, and business analytics
• Applied AWS Lake Formation governance with PCI compliance for payment data security
• Used transient EMR clusters with Spot Instances to optimize processing costs

BookMyShow's modern AWS architecture enabled scalability, agility, and cost optimization while maintaining security and governance across analytics, data science, and business intelligence functions.