Build unified and consistent data lineage capabilities for Snowflake, Databricks, and Azure data stores.

Data lineage is a critical aspect of data management that allows organizations to track and understand the origins, transformations, and movements of data within their systems. Theom, an AI-driven Data Access Governance and security platform, provides robust data lineage capabilities that enable organizations to visualize and trace the flow of data across their data infrastructure, ensuring data accuracy, compliance, and transparency.

Actors:

• Data Governance Team: Responsible for ensuring data integrity, compliance, and managing data lineage.
• Data Engineers: Responsible for designing and implementing data pipelines and transformations.
• Business Analysts: Utilize data lineage information for data analysis, reporting, and decision-making.

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Considerations:

• Data Pipeline Design and Implementation:
  - Data engineers design and implement data pipelines within the organization's data infrastructure using tools and platforms - Theom supports governance on all the data clouds where the organization’s data exists, including Snowflake, Databricks, Redshift, or Azure SQL.
  - During this process, they define the data sources, transformations, and destinations involved in the data flow.

• Data Lineage Capture:
  - Theom automatically captures data lineage information as data moves through the organization's data infrastructure. As data is transferred from one table or view to another table or view across cloud infrastructures, Theom normalizes the view to provide data lineage information at a very granular detail.
  - It tracks and records metadata about each data element or dataset's origin, transformations, and destinations.
  - Theom's AI analyzes data access patterns and transformations to build a comprehensive and accurate data lineage graph as part of data relationships dashboards. 

• Visualization of Data Lineage:
  - Theom provides a user-friendly interface that allows the data governance team and business analysts to visualize the data lineage graph.
  - Users can explore the graph to understand the data flow, identify dependencies, and trace data from its source to its destination.
  - The data lineage graph includes information such as data sources, transformations, data consumers, and the relationships between them.

• Impact Analysis and Compliance:
  - The data governance team can leverage Theom's data lineage capabilities to perform impact analysis when making changes to the data infrastructure.
  - By analyzing the data lineage graph, they can assess the potential impact of modifications on downstream systems, applications, and reports.
  - Theom ensures that any changes made to data sources or transformations do not introduce errors or inconsistencies and remain compliant with data protection regulations and best practices.

• Data Lineage Auditing and Reporting:
  - Theom enables the data governance team to generate comprehensive reports on data lineage for auditing and compliance purposes, including best practices for NIST, HIPAA, HITRUST, OWASP, and CIS.
  - These reports provide a clear and documented view of data origins, transformations, and destinations, facilitating transparency and accountability.
  - The reports can be shared with regulatory bodies, internal stakeholders, and external auditors to demonstrate compliance efforts and data accuracy.

• Data Analysis and Decision-making:
  - Business analysts leverage Theom's data lineage information to perform data analysis, reporting, and decision-making.
  - They can confidently trace data back to its source, ensuring data quality and reliability in their analysis and reporting processes.
  - Theom's data lineage capabilities enable a better understanding of the data context, enhancing the accuracy and credibility of analytical insights and business decisions.

• Data Lineage Validation and Verification:
  - The data governance team can use Theom to validate and verify the accuracy and completeness of the data lineage graph.
  - They can compare the recorded lineage with expected data flow and conduct data lineage audits to identify any discrepancies or gaps.
  - Theom assists in maintaining an up-to-date and reliable data lineage representation, ensuring data governance practices are followed effectively.

Theom empowers organizations with comprehensive data lineage capabilities. By visualizing and tracking the flow of data, organizations can ensure data accuracy, compliance, and transparency. Theom's data lineage functionality enables impact analysis, auditing, reporting, and informed decision-making, facilitating better data governance practices and enhancing overall data management processes.