Itqualityassurance
What is a metadata-driven ingestion? Metadata-driven ingestion engine is an approach that uses a very different way to ingest data. It skips the often time-consuming loading and integration processes by using metadata with the files being ingested into Hadoop.
- What is metadata driven pipeline?
- What is metadata driven ETL?
- What does data ingestion mean?
- What is meta driven architecture?
What is metadata driven pipeline?
Metadata-Driven ELT allows for the use of data science techniques to generate the metadata mapping between source customer objects and the final, conformed customer analytical object. This type of metadata mapping can be used to rapidly create a uniform customer ELT pipeline.
What is metadata driven ETL?
A metadata-driven ETL framework is an excellent approach for standardizing incoming data. It helps simplify what can be a very complicated process. It helps speed development on the ETL side by providing more flexibility during the process of incorporating different data sources into a data warehouse.
What does data ingestion mean?
Data ingestion is the process of importing large, assorted data files from multiple sources into a single, cloud-based storage medium—a data warehouse, data mart or database—where it can be accessed and analyzed.
What is meta driven architecture?
A metadata architecture is the beating heart of any effective BI implementation. It provides vital context for various elements of your data warehouse, including structural information about the entity relationships and data formats that make up the architecture of the EDW.
