Bigeye Introduces End-to-End Enterprise Lineage for Hybrid Data Environments
Bigeye automatically maps end-to-end lineage for analytics dashboards across cloud data warehouses, ETL tools, and legacy data sources, providing comprehensive data health insights to data consumers.
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Bigeye has launched its new column-level lineage support for ETL platforms, including the availability of Informatica Powercenter lineage, enhancing data observability across hybrid enterprise data environments. This new feature allows customers with on-premises legacy data sources to use Bigeye’s data observability platform to map the lineage of their entire data analytics pipeline—even as data moves between on-premises sources and their cloud data warehouse—delivering comprehensive data quality insights to data consumers.
Bigeye provides end-to-end, column-level coverage across cloud data warehouses and on-premises data sources, extending through to analytics dashboards. This is made possible through the integration of over 50 Bigeye Lineage Plus Connectors for transactional databases, data lakes, ETL platforms, and analytics tools.
Bigeye CEO Kyle Kirwan noted, “Many enterprises we meet really struggle with lineage. Unfortunately, there are a number of platforms claim to do lineage but the level of actual automation is limited, which creates gaps in the lineage graph. Our new Lineage Plus connectors for ETL platforms close a key gap, keeping the lineage trace unbroken between source transactional databases and data lakes or warehouses.”
Once the complete hybrid data pipeline is mapped, business users and data analysts can easily deploy targeted monitoring on specific tables and columns, ensuring every dependency powering their analytics dashboards is covered. When data issues arise, Bigeye will use its Scorecard feature to summarize and present them either alongside the dashboards or directly within the product.
Bigeye is the enterprise-grade data observability platform for modern and legacy data stacks. Bigeye brings together data observability, end-to-end lineage, and scalability and security to give enterprise data teams unmatched insight into the reliability of data powering their business—no matter if it's on-prem, in the cloud, or hybrid.
More information is available here.