How to Get Data Lineage into Microsoft Purview from Multiple Platforms

 

Managing and governing data effectively is a priority for organizations worldwide. Data lineage, which traces the data's journey through an organization, is crucial for ensuring compliance, improving data quality, and making data-driven decisions. Microsoft Purview is a powerful tool that enables organizations to integrate data lineage from various platforms and tools, providing a unified view of their data ecosystems.

In this guide, we’ll explore how to get data lineage into Microsoft Purview from different platforms like MS SQL (on-prem), SSIS, Cobol, Excel, Tableau, and many more.

 

What is Data Lineage, and Why Does It Matter?

Data lineage refers to the life cycle of data: where it originates, how it moves through the organization, and how it's transformed along the way. With data coming from diverse platforms such as Netezza, SAP HANA, Amazon Redshift, and Azure SQL, understanding its flow is key to ensuring transparency, compliance, and optimizing data processes.

Microsoft Purview allows businesses to capture, visualize, and manage this data flow, offering a comprehensive solution to improve data governance.

 

Challenges of Getting Data Lineage into Microsoft Purview

Integrating data lineage from multiple sources can be challenging, especially when working with a mix of legacy systems, cloud services, and complex ETL pipelines. Key challenges include:

  1. Diverse Data Platforms: Integrating data lineage from on-premises systems like MS SQL or SSIS, alongside cloud-based systems such as Amazon RDS, adds complexity.
  2. Legacy Systems: Extracting data lineage from older platforms like Cobol or Sybase may require custom solutions.
  3. ETL Workflows: Managing intricate ETL processes from tools like Informatica, Talend, and Matillion demands proper orchestration and tracking.

 

How to Integrate Data Lineage from Multiple Platforms into Microsoft Purview

Let’s look at how to bring data lineage from various platforms into Microsoft Purview, ensuring all your critical data sources are included.

1. On-Premises Systems (MS SQL, SSIS, IBM DataStage, Sybase)

For on-prem systems like MS SQL (on-prem), SSIS, IBM DataStage, and Sybase, Purview provides connectors that integrate through Azure Data Factory (ADF). ADF helps bridge the gap between on-prem data sources and the cloud, capturing metadata and data lineage effortlessly.

2. ETL Tools (Informatica, Talend, Matillion)

For ETL processes managed by tools like Informatica, Talend, and Matillion, you can extract metadata and lineage information through APIs or connectors. Purview supports ingestion of this data, allowing you to map complex ETL workflows efficiently.

  • Informatica: Seamless integration with Microsoft Purview via metadata connectors.
  • SSIS: Data lineage captured through ADF or Purview APIs.

3. Legacy Systems (Cobol, Netezza, SAS)

Legacy systems like Cobol and Netezza may not have direct connectors, requiring custom scripts or manual extraction methods to integrate data lineage into Purview. This may involve exporting metadata and creating custom workflows.

4. Cloud-Based Platforms (Amazon Redshift, Amazon RDS, Azure SQL, Amazon Aurora)

For cloud-native systems like Amazon Redshift, Amazon RDS, Azure SQL, and Amazon Aurora, Purview offers built-in connectors to streamline data integration. You can connect these services directly to capture metadata and lineage, ensuring visibility across hybrid or multi-cloud environments.

5. Big Data and Analytics Tools (Tableau, Qlik Sense, Power Designer)

For analytics and big data tools like Tableau, Qlik Sense, and Power Designer, it’s essential to capture data lineage to understand how data visualizations are created and used in decision-making. Purview supports integration with these platforms through API calls, allowing full visibility into data flow.

6. Real-Time Data Streaming (Kafka, Streamsets)

With the rise of real-time data streaming from platforms like Kafka and Streamsets, it’s crucial to capture data lineage in real-time. Azure Data Explorer, compatible with Purview, can be used to integrate streaming data into your lineage mapping.

 

Prolifics at IBM TechXchange 2024: Leading Innovation in Data Governance


Prolifics is proud to be part of IBM TechXchange 2024, where we will showcase how we help businesses implement data governance solutions, including data lineage integration with Microsoft Purview. Join us to discover the latest trends and solutions in data management, from cloud platforms to legacy systems, and explore how our expertise can help you master your data governance challenges.

For more information, visit Prolifics at IBM TechXchange 2024.

 

Best Practices for Smooth Data Lineage Integration

  • Automate Integration: Use automation tools like Azure Data Factory to ensure continuous data lineage capture.
  • Focus on Data Quality: Ensure that the data being tracked and integrated is accurate and consistent.
  • Adapt to New Data Sources: Be prepared to integrate new tools or systems like Kafka, Amazon Aurora, or Streamsets as your organization evolves.
  • Collaborate Across Teams: Involving key stakeholders and data teams in the integration process ensures smooth operation and comprehensive coverage.

 

Conclusion

Integrating data lineage into Microsoft Purview from various platforms such as MS SQL (on-prem), SSIS, Cobol, and Informatica is crucial for ensuring transparency, governance, and compliance across your data landscape. With the right tools and strategies, you can map your entire data flow, ensuring that your organization can optimize its data use while maintaining governance.

At Prolifics, we specialize in helping businesses achieve comprehensive data governance solutions. From cloud platforms like Amazon Redshift to legacy systems like Cobol, we can help you ensure that your data lineage integration is smooth and effective. Reach out to us today to start your data governance journey.

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