Building a Genomics Data Lake in Azure

Since the human genome was first drafted in 2001, the scale of genomic data being produced has grown exponentially. To properly process, analyze, sequence, and store genomic data, research organizations need a secure platform capable of automation and collaboration on a huge scale. Learn why research organizations are embracing a cloud-based data lake solution that meets their genomic data needs.

Discover a cloud data platform with:

Over 90 data connectors for performant data ingestion
Security featuring fine-grained access controls
Integration with powerful compute services like Apache Spark
Virtually limitless scalability to house all your multi-omics information