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erwin and Snowflake Partnership: Helping Our Customers Manage and Govern the Entire Data Lifecycle

Jun 8, 2020 by Wendy Petty

erwin and Snowflake Partnership: Helping Our Customers Manage and Govern the Entire Data Lifecycle

In my role as chief sales officer, I am fortunate to spend my time with the industry’s most passionate and committed customers. In these highly competitive enterprises and in the new post-COVID era of business, erwin’s customers are laser-focused on helping their businesses enhance their operations through the application of data truths: insights that help them improve everything — from how they serve their customers to increasing their competitive edge to delivering new products and services to meet the demand of new digital paradigms.

That’s why I’m so excited about our announcement about our new partnership with Snowflake. Our customers are in search of creative and sustainable ways to increase their speed to insights for digital transformation, infrastructure modernization and cloud migration and many of them are looking to implement the Snowflake Cloud Data Platform.

It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data.

With our new partnership, we can now help our customers manage and govern the entire Snowflake data lifecycle, speed transformation of legacy systems to Snowflake and automatically ingest, catalog and govern the data in these scalable, high-performance cloud data stores.

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.

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.

Sounds like a match made in heaven? Well, we think so. Let me know your thoughts on the new erwin/Snowflake partnership. Drop me a line.