Cloud architectures enable and encourage a new level of integration with 3rd party systems and data sources to deliver enriched and personalized services. The purpose of a modern data pipeline is to assemble, distill, and publish relevant data for better inform and monitor software infrastructure. Newer, real-time ETL solutions promise a more 'cloud-centric' approach to data pipeline engineering by combining distributed data ingestion, real-time data transformation, and computation. Embedding compute with ingestion improves data operations efficiency and enables real-time ETL.
9 Impressions