Manta + BigID
Prioritizing Data Protection Together
Our integration with BigID gives enterprise organizations the power to understand, manage, and protect their most sensitive data. With our collaboration, BigID is able to offer a bi-directional metadata exchange app, one that delivers automation and insights to manual data lineage. By integrating our data lineage solution with BigID’s data intelligence platform, joint customers are now able to utilize this solution to gain a complete overview of how sensitive, critical, and regulated data is processed.
With this integration, Manta’s solution is augmented by the ability to pull in detailed data context from BigID, while BigID’s platform is augmented by the ability to consume detailed lineage metadata from Manta. Moreover, Manta’s distinct ability to automatically identify and tag sensitive data with warning labels to see where it flows adds another vital layer of data protection.
Frequently Asked Questions
Does data lineage manipulate or modify the data?
MANTA’s data lineage does not manipulate or modify your data. In fact, MANTA does not have access to the actual data at all. MANTA connects to your disparate data resources (such as databases, data warehouses, ETL tools, and BI tools).
What is the difference between data mapping, data flow, and data lineage?
Data mapping identifies the data source or source system (i.e., terminology, data set, database, etc.) the data is coming from, or being mapped from, and the target repository (i.e., database, data warehouse, data lake, cloud-based system, or application, etc.) it’s going to be or being mapped to.
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.