September 2022 Summaries

When organizations seek to modernize their data architecture by migrating on-premises MPP data warehouses to cloud-based systems, a Lakehouse model is often adopted, with Apache Hudi facilitating the migration process. Using Teradata and Amazon S3 as examples, the migration involves executing dual target ETL pipelines to ensure data parity between the old and new systems, with synchronization achieved through a Point-In-Time Full Extract and Load Phase (T0) and an Incremental Extract and Merge Phase (T1). Common challenges in the migration include handling database changes efficiently and minimizing downtime, which Apache Hudi addresses by enabling effective data synchronization and optimization of file sizing. The proposed solution can be adapted for various MPP data warehouses and public cloud platforms, emphasizing the flexibility and scalability of the Apache Hudi-powered Lakehouse architecture.