Unlocking the Power of Customer Data: How Caylent and AWS Modernized an Analytics Pipeline

This article discusses how Caylent, an AWS Premier Partner, helped a customer modernize its analytics pipeline using AWS services like Amazon Redshift, AWS Glue, Amazon S3, and AWS Database Migration Service (DMS). They did this through a 3-Day Experience Based Acceleration (EBA) workshop to validate the right architectural solution.

Specifically, the article covers:

• The customer's current architecture and its need for a more secure, scalable, and consistent data pipeline.
• The proposed solution involving a Data Lakehouse architecture with a metadata-driven pipeline, utilizing services like Redshift, DMS, S3, and Glue.
• The key requirements addressed in the EBA workshop, such as ETL processes, analytics and security, and handling data integrity issues.
• How Redshift's row-level security can enable granular access control over customer data at scale.
• The use of AWS DMS for change data capture and ongoing replication from source data stores.
• The role of AWS Glue jobs in data transformations, deduplication, and partitioning.
• The value of the EBA workshop in validating the solution and accelerating the customer's cloud adoption journey.