Data Operations ‘DataOps’ has been inspired by the Agile-premised ‘Development Operations’ model. The ‘DevOps’ model which usually includes security (DevSecOps),…
Data files or tables are parsed into smaller units. This is also called ‘partitioning’. A partition is usually performed against…
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…
(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…