How one of the world's largest investment companies is migrating data to AWS using a Lake House. By engaging with AWS and Vertical Relevance, the Customer was able to decide which incremental “Waved” approach is best aligned with their needs. The Customer now has a plan for completion of successful migration to the next best Lake House AWS architecture state as well as managing risks while delivering business value at each increment.
The Data Pipeline Foundations provide guidance on the fundamental components of a data pipeline such as ingestion and data transformations. For data ingestion, we heavily leaned on the concept of data consolidation to structure our ingestion paths. For transforming your data, be sure to utilize our step-by-step approach to optimize architecting your data for end-user consumption. By following the strategies provided, your organization can create a pipeline to meet your data goals.