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Data Modeling with ER/Studio for Data Warehouses

Moving organizational data from legacy systems to data warehouses (such as Snowflake, Synapse, BigQuery, Redshift, and Teradata) is challenging. Organizations must take steps to de-risk this significant undertaking while decreasing the time-to-value. We would argue the most important step is data modeling. This includes identifying and understanding all source data and data assets, gaining a complete picture of data lineage, and architecting a complete picture of what you aim to build and how it will work. Furthermore, modernizing your data warehouse is the perfect opportunity to up your game when it comes to data governance. Through the metadata captured by sophisticated data modeling tools, you will set your organization up for success in this area as well.

Read this datasheet to discover how to enable collaborative enterprise data architecture with ER/Studio.

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