Scientific healthcare data is estimated to grow at a CAGR of 36% through 2025, driven by an increase in the throughput of biologic assays. However, the ability to manage and exploit the data has not kept pace. Instruments are becoming more complex, experiments are requiring high throughput and different data types need to be integrated and analyzed at a lightning-fast frequency.
In this webinar, ZS’s Bruce Press and Databricks’s Amir Kermany will discuss how companies can transform omics data into an enterprise asset by creating an end-to-end value chain, moving closer to the vision of precision health at scale.
You will learn how to:
- Solve speed and cost issues around the ingestion, storage and querying of petabyte-scale genomic data sets
- Provide quality control management and governance for data from disparate sources, maintain data provenance and enhance the searchability of raw data
- Maximize data modeling and analytics
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