What Challenges Do Data Lakes Address in Catalysis?
1. Data Silos: Traditional data storage methods often result in data being isolated in different systems. Data lakes break down these silos, enabling comprehensive data analysis. 2. Data Volume: Catalytic research can generate terabytes of data. Data lakes are designed to handle this scale efficiently. 3. Data Variety: With the ability to store structured, semi-structured, and unstructured data, data lakes can accommodate the diverse types of data generated in catalysis research.
