Building The Best Data Pipelines
InformationWeek, Friday, September 27th, 2024
Scalability, real-time analytics, team collaboration, and readiness for new technologies are key to building future-proof data pipelines.
Data pipelines -- the process of curating data from multiple sources, preparing the data for proper ingestion, and then mobilizing the data to the destination -- create data workflows between data science teams, IT, and business units.
Traditionally, data pipelines have been linear, making the extract, transform, load (ETL) process the norm. Businesses would extract data from sources, transform and clean up the data, and then load it into a data warehouse or data lake.