Detailed Data Map
Why is data lineage important?
Data lineage provides a full overview of how your data flows through 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.
How can data lineage help data scientists make better reports?
Data lineage provides data scientists with greater functionality for locating the appropriate metrics required for their reports, requiring less time and effort. It also affords greater confidence in the metrics being utilized in the reports, as it is possible to visualize the lineage back to the source technologies.
Are there open-source data catalog tools?
There are open-source data catalog tools that "catalog" the data in an organization, its location, and how it can be accessed. When it comes to seeing how your data functions inside your data environment, a data catalog tool is valuable but incomplete.
What is a data lineage scanner?
A data lineage scanner connects to database repositories, ETL tools, reporting tools, and other types of source technology to document how data flows, transforms, and impacts assets both downstream and upstream as well as where the data is sourced from, making it possible to gain full visibility and control over even the most complex data pipelines.
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.
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 most important feature of a data lineage application?
The most important capabilities of a data lineage application are automation and the ability to review how lineage looked in the past and compare two different time slices. Automating data lineage collection is the only way to ensure accurate and up-to-date results. Delivering historical lineage and comparing two different time slices allows you to see how the lineage developed. Such delivery is key to achieving a holistic view of the data landscape.
Should data lineage be part of a data migration strategy?
Migrating from legacy systems or simply adding a new data source to any cloud platform becomes complex without visibility across all data flows to guide the process. Lineage automation helps you gain visibility and avoid the dangers of not knowing by illustrating exactly which data gets used, how it gets used, where it comes from, and how it transforms as it flows across systems.
Does data lineage help with SQL reporting?
With a detailed map of all direct and indirect dependencies between data entities within your environment, data lineage provides a full overview of how your data flows throughout your environment. As a result, you get a better understanding of the sources, structure, and evolution of your data. The visibility provided by data lineage can reduce SQL errors in reporting, improve understanding of your reporting, and help improve decision-making based on your data.
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.
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