How can data lineage help with auditing data standards?
Data lineage provides visibility into the flow of data throughout enterprise systems and ensures a documented data flow trail throughout the data lifecycle. Data lineage is helpful for setting and adhering to auditing standards, as it helps serve multiple purposes, including ensuring compliance with regulatory reporting, identifying data security breaches, and maintaining compliance with government and industry regulations.
How does data provenance compare to data lineage?
Data lineage goes beyond this historical record of data to look at the how and possible impacts of data movements and dependencies. Data lineage provides a full overview of how your data flows throughout the systems of your environment via a detailed map of all direct and indirect dependencies between data entities within the environment. This gives you a greater understanding of the source, structure, and evolution of your data.
Is data lineage part of 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.
We have a very large set of data across multiple databases. Can we still do data lineage and visualize data flow easily?
MANTA supports the highest number of native scanners of all the data lineage solutions available on the market. MANTA also offers a unique Open MANTA solution that allows you to benefit from MANTA’s lineage even when there’s no formal scanner available for the desired technology. Combining those capabilities allows MANTA to scan every nook and cranny of your data ecosystem to harvest accurate and up-to-date data lineage across multiple databases and visualize data flows.
How can data lineage improve 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.
Does MANTA do dependency analysis?
An invaluable tool for analyzing data dependency is the lineage graph generated by MANTA. You are able to see exactly how each attribute is related to another, how a particular transformation impacts them, or how a particular transformation has affected the data. Knowing the answers to such questions will give you more power and control over dependencies and will enable you to deploy more automated techniques.
What is the purpose of data lineage?
Data lineage helps you tame data complexity and gives you a full overview of how your data moves across systems, including where it originated, how it transforms along the way, and how it’s interconnected. Such an overview will help you boost your data governance efforts, increase overall trust in data, achieve full regulatory compliance, accelerate root cause and impact analyses, roll out our frequent bug-free releases, painlessly migrate to the cloud, and more.