What architecture blends lake storage flexibility with warehouse governance features?
Answer
Data Lakehouse
The industry recognized that relying solely on a basic data lake could lead to a 'data swamp' due to poor governance and quality issues. To overcome this, the data lakehouse architecture emerged. This advanced structure is an attempt to synthesize the best aspects of both previous systems. It retains the low-cost, flexible storage capabilities characteristic of a data lake while incorporating robust data management features traditionally associated with data warehouses, such as transactional support and strong governance mechanisms. This blend is crucial for complex environments like AI-enabled clinical trials, allowing raw data ingestion alongside the application of consistency layers for critical analysis.
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?