In simple terms we can identify the differences between Data Lakes and Data Warehouses. Data Lake: A data lake is…
Digital Transformation Digital transformation not a magic solution nor a buffet of word salads. DT is roughly defined as the…
A typical Technology Stack for a Data Lake. S3 as the Golden Source. Snowflake as a corporate Data Share with…
Iceberg Cometh Open table formats, such as Apache Iceberg, enable scale-out data warehousing directly on a data lake. This architecture…
A data lake is a centralized repository that allows a firm to store structured and unstructured data at any scale.…
Traditional Data Product Management Federated data management and data product builds and sharing has little to do with traditional data…
Data Lake Architecture Data lake architecture was introduced in 2010 in response to the challenges of data warehousing architecture in satisfying the…
Moving data from S3 to Snowflake to satisfy use cases around analysis, corporate reporting, or cross-domain information collaboration is best…
Both platforms are valid and will likely work together in larger enterprises. The tricky part is always access, entitlements and…
AWS S3-based Data Lakes and Snowflake are both powerful solutions for data storage and analysis, but they serve different use…