×
Mar 7, 2024 · Metadata-driven frameworks rely on dynamic configuration, which allows for changes in the ETL process without altering the code. This includes ...
People also ask
An ETL framework is essential for efficiently managing data integration processes. It standardizes data extraction, transformation, and loading, ensuring ...
Dec 22, 2022 · The Metadata Driven ETL redefines data integration by keeping metadata at the core to facilitate reuse or definition of mappings, ...
Jun 25, 2020 · The most important function of an ETL process is transferring the data from one location (one or more tables) into another whilst performing certain data ...
Jan 5, 2024 · Provides information about the metadata-driven approach in ADF copy data tool.
Metadata-Driven ELT allows for the use of data science techniques to generate the metadata mapping between source customer objects and the final, conformed ...
A metadata-driven framework is a software architecture or system design where the behavior and functionality are guided by metadata rather than hard-coded logic ...
Apr 17, 2023 · A metadata-driven data integration framework is one such methodology that can help organizations manage and integrate their data in a more efficient manner.
Oct 25, 2022 · In this article, Ilse Epskamp, Data Engineer at ABN AMRO, explains how to build a scalable metadata-driven data ingestion framework.
Apr 29, 2023 · Metadata-driven data pipelines can handle complex transformations, data quality checks, and schema changes with ease, making your life a whole ...