Manta + data.world
Manta provides data.world customers with technical lineage of tables, columns, views, queries, transforms, additions, edits, and more.
The automated lineage capabilities allow users to quickly gather metadata and draw a complete map of all data dependencies, providing them with critical knowledge about the complete journey of their data assets and their connections.
This granularity provides transparency and confidence in an organization’s data flow and consumption, ultimately improving impact and root-cause analysis, troubleshooting, and forecasting efforts.
Frequently Asked Questions
How do you establish data lineage?
The ways in which each tool establishes data lineage are different. There is a need for technology-specific scanners to parse code (like stored procedures, ETL job definitions, etc.) and identify the structure and movement of information throughout a customer’s ecosystem.
What is data lineage in data governance?
Data governance, at its core, is establishing trust in data – the quality and sources of data, the integrity and the use of data, and the security of data during the lifecycle of data within the enterprise. Data lineage plays an important role in your data governance framework and overall data management strategy by providing visibility into how data flows throughout your environment as well as transparency in the sourcing, structure, and evolution of your data.
How can I improve lineage data quality?
When you have a complete overview of all your data flows, sources, transformations, and dependencies, you have control of your data assets. You can speak to the accuracy and quality of your data and have confidence in your data information and reports. By giving you a full overview of how your data moves across systems, where it originated, how it transforms along the way, and how it’s interconnected, data lineage can help you to ensure the quality of your data, reinforce your overall data management strategy, and increase trust in your data.