Zero-ETL lakehouses for Postgres people

The blog post explores the evolving landscape of data analysis tools and systems, particularly focusing on the concept of data lakehouses, which combine the efficiency of data warehouses with the cost-effectiveness of data lakes. Emphasizing the separation of storage and compute in cloud services, the text highlights how these systems, unlike traditional monolithic databases like Postgres, use various tools and layers to achieve fast and scalable data processing. The narrative also delves into the distinction between OLTP and OLAP systems, noting their different orientations and the potential of zero-ETL processes to bridge these systems seamlessly. Additionally, it discusses the emerging technology stacks within lakehouses, detailing the roles of raw data formats, table management layers, and catalogs, alongside the increasing integration of Postgres with data lakehouses through extensions like pg_duckdb, pg_lake, and pg_mooncake.