Parsing-based lineage is a type of data lineage that involves parsing data flows and processes to identify how data is transformed and moved through different systems. In other words, parsing-based lineage uses automated parsing techniques to extract information from data and process flows in order to identify the source, processing steps, and destinations of data.
Parsing-based lineage involves parsing or scanning different types of data sources, such as SQL queries, ETL workflows, logs, and code to extract information about the data lineage. This information is then used to generate a visual representation of the data flow, which can help organizations understand how data is being used and processed across different systems.
Parsing-based lineage can be useful for organizations that need to manage complex data architectures or work with large volumes of data. By automating the parsing process, parsing-based lineage can help organizations quickly identify data lineage, pinpoint data quality issues, and troubleshoot problems in the data flow.
However, parsing-based lineage does have some limitations. Because it relies on automated parsing techniques, it may not always capture all aspects of the data flow, and may require manual intervention or human interpretation to accurately represent the data lineage. Additionally, it may not be able to capture certain types of data transformations or processing steps that are not easily parsed from the data source.