Gain a deep understanding of your data with an in-depth overview that provides detailed insights into data flows, dependencies, and relations. This feature enables both technical and business users to explore the full context of their data, ensuring informed decision-making and enhanced transparency across the data ecosystem.
Ensure transparency and control by tracking sensitive data, such as GDPR-tagged information, throughout its journey. If GDPR data flows into another table, it’s flagged to maintain compliance or verify proper handling, allowing you to address potential risks and ensure sensitive data is managed or deleted as required. This feature helps you stay compliant, mitigate risks, and maintain a secure and transparent data ecosystem.
Create a connection to keep your lineage up to date with automated mapping that provides a clear and accurate view of data relationships without manual adjustments. This capability simplifies lineage management, saves time, and ensures your visualizations remain up-to-date and reliable.
Foster collaboration with the ability to edit, comment, and add objects, allowing users to customize the lineage to reflect their findings or insights. Once you've created an expanded tree view, you can save and export it as a PDF, making it easy to share with colleagues for discussion, review, or further analysis.
Transform static visuals into a dynamic, user-friendly experience with interactive data lineage. Explore data flows in detail, customize the level of detail to fit your role, and uncover relationships across systems. Whether you're a business user focusing on lower-level overviews or a data engineer examining column-level specifics, our interactive lineage adapts to your needs, making data exploration intuitive and insightful.
Data lineage shows you the complete journey of your data, tracing its path from the source to its final use. This helps you see where your data originates from, how it’s transformed, and ensures you understand its context and reliability.
Yes, you can save your analysis for later or directly share it with others.
Dawiso ingests lineage metadata provided by the platform itself which is typically a table level lineage. You can ingest table as well as column level lineage from DWH automation frameworks like DBT. We also have a beta program for SQL parsers providing column level lineage.
There are several ways to create a lineage. They are all listed and described here.
Data lineage reflects the current state of your relations, which are either loaded manually or automatically. This means the accuracy and timeliness of the lineage directly depend on how up-to-date the underlying data is. When the relations are current, the lineage stays aligned in real-time with your data flows.
It provides a clear record of data flows and enables tagging of sensitive or regulated data. This ensures you can track how such data is used, verify its handling, and demonstrate compliance with standards during audits.
Data lineages ensure more accurate reporting, faster resolution of issues, and better compliance with regulations. It empowers both technical and business teams to trust their data and make informed decisions confidently.
Data lineage connects data from various sources, systems, and applications, providing a comprehensive view of your data ecosystem, regardless of the platform. However, compatibility depends on the specific integrations and connectors available.
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