We often end up creating a problem while working on data. So, here are few best practices for data engineering using Snowflake: 1. Transform your data incrementally: A common mistake novice data engineers make is writing huge SQL statements that join, aggregate, and process many tables, misunderstanding that this is an efficient way to work. […]
Prashant Shrivastava
Prashant Shrivastava is a Solutions Architect on the Data Solutions team, and he is based out of Nagpur. He has successfully delivered many projects in different ETL tools by using different databases.
