Why CastorDoc x Airbyte makes sense?
Airbyte is an open-source data integration platform that helps in moving and consolidating data from different sources to data warehouses, data lakes, or other destinations. It provides connectors for various sources and destinations, making it easier to ingest and export data.
CastorDoc is a data cataloging tool that helps organizations manage their data by providing a central repository where metadata about the data can be stored, organized, and searched. This includes information about the data's location, structure, and meaning.
Integrating Airbyte's metadata into CastorDoc's data catalog could make sense for several reasons:
- Centralized Metadata Management: Airbyte handles data from various sources. Managing the metadata of this data centrally in CastorDoc can make it easier to search, discover, and understand the data.
- Data Lineage: Understanding the lineage of data (i.e., where it came from, how it was transformed, and where it is stored) is crucial for data governance and compliance. Integrating Airbyte's metadata into CastorDoc can help in tracking the data lineage.
- Data Quality: Knowing the source and transformations of the data can help in assessing its quality. This is important for ensuring that the data used for analysis and decision-making is accurate and reliable.
- Ease of Data Discovery: A data catalog like CastorDoc helps in data discovery by providing a searchable repository of all available data. Including Airbyte's metadata can make it easier for users to find the data they need.
- Data Governance: Effective data governance requires that all data, including metadata, is managed centrally. Integrating Airbyte's metadata into CastorDoc can help in implementing data governance policies.
- Data Documentation: CastorDoc can serve as a central location for documenting all data, including that ingested via Airbyte. This can help in ensuring that all data is properly documented and understood by all users.
“[I like] The easy to use interface and the speed of finding the relevant assets that you're looking for in your database. I also really enjoy the score given to each table, [which] lets you prioritize the results of your queries by how often certain data is used.” - Michal P., Head of Data