(ETL engine in the above could be AWS Glue) There are various ways to define performance and what that means. …
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…
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…
The Data Glossary focuses on business terminology and definitions, bridging the gap between business and IT. A data glossary is a document…
A comparison of AWS Sage Maker and Databricks. Both satisify different use cases. A key aspect is the principle of…
Snowflake and S3 Data Lake(s) provide a cloud native, scalable, cheaper, easier to use options when consolidating data within a…