(ETL engine in the above could be AWS Glue) There are various ways to define performance and what that means. …
A data lake is a centralized repository that allows a firm to store structured and unstructured data at any scale.…
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…
If you are building a Data platform the first consideration should be around data quality, cleaning, traceability, ownership and reporting…
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…
1. Scalability: The Backbone of SaaS Architecture Scalability is at the heart of SaaS development. As the user base grows,…