How do you establish data lineage?

Each tool establishes data lineage in its own unique way. When it comes to MANTA, it has technology-specific scanners that parse code (such as stored procedures, ETL job definitions, etc.) and produce lineage from the metadata that defines the structures and movements of information throughout an account’s ecosystem.

How can I trace data lineage?

Data lineage can be presented visually via the Dataflow Viewer UI as well as programmatically via export or API.

Does MANTA consider conditional statements, where clauses, and joins?

Yes, in MANTA, the lineage produced from conditionals is represented by indirect lineage. Indirect lineage identifies where conditionals are utilizing assets, even if their involvement does not result in data movements of their own.

How is MANTA data lineage different from that of other data lineage tools on the market?

MANTA’s lineage provides much more accurate, complete, and detailed information than lineage from other solutions. MANTA offers the largest number of native scanners that can connect to various parts of your data environment. MANTA’s selection is flexible, customizable, and versatile with features like user-defined metadata import, historical lineage (time-slicing), indirect lineage, active tags, repository grouping support for several programming languages, and more.