How large can data output be from a single whole-genome sequencing run?
Answer
Hundreds of gigabytes
The explosive growth of data volume, particularly in areas like genomics, was a key driver forcing healthcare institutions towards data lake architecture. The complexity and sheer size of the data generated by modern sequencing methods are substantial. Specifically, a single run of whole-genome sequencing can produce hundreds of gigabytes of data. Attempting to structure this massive volume and complexity into a traditional, highly structured data warehouse schema before specific research questions are formulated is described as being both inefficient and costly, highlighting the inherent advantage of the data lake for handling such large binary objects natively.

Related Questions
What individual is credited with coining the term "data lake" near 2010?What approach defines how data is handled in a data lake regarding schemas?What is the Data State characteristic associated with a traditional Data Warehouse context in biopharma?Which roles primarily utilize the Data Lake in a clinical or research setting?What architecture blends lake storage flexibility with warehouse governance features?What governance elements are crucial when processing sensitive data in a medical data lake?Which regulation necessitates stringent governance for medical data lakes used for predictive analytics?How large can data output be from a single whole-genome sequencing run?What term describes a data lake repository where data quality is poor and finding information is nearly impossible?Which data types are best suited for ingestion into a Data Lake environment due to their raw nature?