Self Service Analytics with Amazon Redshift Serverless Ant317

Title

AWS re:Invent 2022 - Self-service analytics with Amazon Redshift Serverless (ANT317)

Summary

  • Naresh Chanani, an engineering director at Redshift, and Raj Bhattisa from Broadridge Financial co-presented on self-service analytics with Amazon Redshift Serverless.
  • Self-service analytics allows analysts to query data in seconds without worrying about infrastructure decisions, such as compute provisioning.
  • Redshift Serverless, launched in July 2022, is a fast-growing service that automates maintenance, security, and scaling, allowing users to focus on querying and only pay for what they use.
  • Broadridge Financial faced challenges with their on-prem system, including poor query performance, difficulty scaling, and high costs.
  • They migrated to Redshift Serverless using AWS Schema Conversion Tool (SCT) and other AWS services, resulting in significant performance improvements and cost savings.
  • Redshift Serverless features include auto-scaling, auto-backup, and built-in monitoring, which supported Broadridge's requirements for better performance and reduced operational overhead.
  • Naresh highlighted the scale of Redshift, processing 750 million queries daily, and introduced new features like auto-ingestion from S3 and streaming ingestion from Kinesis or Kafka.
  • Redshift autonomics was discussed, focusing on automatic tuning for optimal performance as workloads scale.
  • The session concluded with an invitation to try Redshift Serverless with a $300 credit and a Q&A session.

Insights

  • Redshift Serverless addresses the need for quick, scalable, and cost-effective data analytics without the complexity of managing infrastructure.
  • The ability to query across different data silos is crucial for timely decision-making and comprehensive insights.
  • Broadridge Financial's migration to Redshift Serverless demonstrates the practical benefits of cloud-native solutions for large-scale financial data analytics.
  • The introduction of auto-ingestion and streaming ingestion features in Redshift shows AWS's commitment to simplifying data pipelines and enabling real-time analytics.
  • Autonomics in Redshift is a key differentiator, providing automatic tuning to maintain performance without manual intervention, which is particularly beneficial for businesses with evolving workloads.
  • The session highlighted the importance of collaboration between AWS and its customers to achieve successful migrations and performance improvements.
  • AWS's offer of a $300 credit to try Redshift Serverless indicates a push for wider adoption and an opportunity for businesses to test the service with minimal financial risk.