erwin and Snowflake Partner to Accelerate Cloud Migration and Effectively Govern Cloud Data Stores
The partnership removes barriers, reduces risk, and decreases time to value for enterprise customers moving from legacy data stores and warehouse systems to the cloud
erwin, Inc., the data governance company, today announced a partnership with Snowflake, the cloud data platform, to help enterprises accelerate cloud migration, as well as ensure proper data governance for those projects. The partnership involves a new native integration with erwin Data Modeler (erwin DM) to automate the design, analysis and deployment of Snowflake, as well as an erwin Data Connector for automatically extracting Snowflake metadata for ingestion into the erwin Data Intelligence Suite (erwin DI).
“Organizations around the world are grappling with how to respond to the COVID-19 pandemic and understand what their businesses will look like after we emerge,” said Stewart Bond, Research Director, Data Integration and Intelligence Software for IDC. “As a result, businesses are expediting their digital transformation and cloud migration efforts to improve agility. As these businesses migrate from legacy systems, data governance and data intelligence are critical to helping them understand where their data is, where it’s been, how it transitioned along the way, and if there are any associated sensitivities or risks. This partnership between erwin and Snowflake will help speed business agility but in a way that ensures compliance and governance along the way.”
“Snowflake customers want to quickly and safely move the data from their legacy systems to our cloud data platform while ensuring the quality and overall governance of that data,” said Kent Graziano, Chief Technical Evangelist at Snowflake. “erwin enables faster and easier cloud migrations into Snowflake, by providing complete data lineage with documentation through automated, repeatable processes. The new partnership with erwin will help our joint customers reduce their time-to-value through increased data visibility, quality and control, and reducing risks and maintenance costs.”
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“As a long-term customer and power user of erwin DM and a huge advocate of Snowflake, having built several data warehouses on that platform, I’m excited about the companies’ strategic partnership,” explained Bernie Pruss, Chief Data Solutions Architect at Two Rivers Consulting. “I was really impressed by the demo of the erwin-Snowflake integrations I’ve seen and am confident about the value organizations will realize by taking advantage of both solutions’ powerful features.”
The native erwin DM integration lets customers automate the creation of Snowflake-specific data models; forward-engineer or generate code for Snowflake database schema; reverse-engineer existing Snowflake schema into erwin models; and compare, analyze and synchronize Snowflake models with the databases they represent.
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The erwin Data Connector for Snowflake automatically scans and ingests metadata from Snowflake platforms into erwin DI, enabling data mapping to and from Snowflake databases to generate data movement code, lineage and impact analysis. And because erwin DM and erwin DI are integrated, there’s a complete picture of physical, semantic and business metadata in every Snowflake instance, and the creation and association of terms within the business glossary can be accelerated.
“We’re excited to partner with Snowflake to help our joint enterprise customers discover meaningful insights from their data, which is now more critical than ever,” said Adam Famularo, CEO of erwin. “Cloud technology is key to helping organizations cope with COVID disruption, and we are seeing more and more demand for the Snowflake Cloud Data Platform among our customer base. This partnership and these key integrations will accelerate Snowflake cloud transformations by providing customers with the necessary data modeling, code generation, data mapping, lineage, documentation and impact analysis that’s foundational to a sustainable data governance program.”
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