Shaping Structured Data: Leveraging Derived Databases and Snowflake Procedures for Seamless Data Management

 Transforming Biopharma data management platform with Databricks and Snowflakes

About Shaping Structured Data: Leveraging Derived Databases and Snowflake Procedures for Seamless Data Management

The client, a dedicated biopharmaceutical company, is on a mission to revolutionise the landscape of brain health. Their commitment to developing groundbreaking therapies holds the promise of transforming the lives of individuals grappling with challenging brain disorders. Through innovative approaches, the client is exploring new avenues to enhance brain health. Their comprehensive franchise programs, focusing on depression, neurology, and neuropsychiatry, aspire to reshape the understanding and treatment of various brain disorders.

The Challenge

Unstructured or cluttered databases in Snowflake: Managing unstructured or cluttered databases in Snowflake posed significant challenges for data organization and retrieval.

Lack of specificity in existing databases for various use cases and requirements: Existing databases lacked specificity for various use cases and requirements, making it difficult to extract relevant information efficiently.

Access control and user permissions: Managing user access and permissions within the databases presented challenges in ensuring data security and confidentiality.

Our Goals

With AntStack they wanted to:


Introduce derived databases as a structured transition from domain databases, enhancing both specificity and organizational efficiency

Centralise metadata management for improved tracking

Automate the creation of views based on metadata with Snowflake procedures

Introduction of Derived Database: Derived databases are implemented as a structured transition from domain databases. Instead of physical tables, these derived databases contain views, which are virtual representations of data based on specific use cases or requirements. This approach allows for greater specificity and flexibility in data organization and retrieval.




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