Efficient data pipelines can be the difference between an architecture that delivers real value to the business or one that becomes a burden. Data engineers must collect, transform, and deliver data to different lines of business while keeping up with the latest technology innovations to stay ahead of business demands. However, traditional legacy architectures create challenges every step of the way.
In this white paper, you’ll learn how Snowflake maximizes data engineering processes by:
Handling both structured and semi-structured data types easily
Ingesting data in bulk or near real-time
Allowing you to process your data directly in Snowflake, using its powerful, best-of-breed transformation engine
Simplifying data pipelines and architecture by leveraging SQL and extensibility features (such as functions and stored procedures)