As machine learning (ML) is revolutionizing an enterprise's digital transformation, the path to successful ML implementation comes with its own set of challenges.
Data freshness is how frequently data is updated and refreshed. Understand common failure points and grab SQL alerts you can integrate into your data pipelines.
Like the calculator, the spreadsheet, and the internet, AI-driven LLM tools are likely to change HOW we do our work, but not the fact that humans will still be the ones doing the work in the first place.
The third article of this series presents a deep-dive into how efficiently we can use Snowflake tables and warehouses and how data sharing occurs across accounts.