Data Engineering and ETL

Data engineering and ETL (Extract, Transform, Load) refer to the processes involved in collecting, preparing, and integrating data for analysis. Data engineering focuses on designing and constructing the infrastructure and pipelines necessary to extract data from various sources, transform it into a consistent format, and load it into a target system. ETL specifically involves extracting data from multiple sources, applying transformations to make it usable, and loading it into a data warehouse or another destination for analysis. These processes ensure that data is cleansed, organised, and available for further analysis, enabling businesses to derive valuable insights and make data-driven decisions.