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Snowflake Optimization: Schema Choices

There are 3 types of schema in a relational database: physical, logical, and external. You need to make the right decisions at all 3 of these levels based on business requirements and data semantics. Doing so will directly impact data ingestion and query performance as well, which of course impacts your Snowflake compute usage (direct cost).

Snowflake Optimization: Avoiding Query Mistakes

Inefficient or poorly written queries are one of the biggest factors to consider when reducing Snowflake costs. Here are the top 8 mistakes we see that are easiest to correct and can have an immediate impact on query performance and cost.

Snowflake Data for Breakfast, the Keebo Optimizer for Dessert

I am looking forward to attending a nearby Snowflake Data for Breakfast session next week to learn more about how Snowflake customers are uniting siloed data, working and collaborating seamlessly across multiple clouds, and other ways they are leveraging Snowflake…

Hyperscience Achieves 50% Snowflake Savings with Keebo

Customer Profile Founded 2014 Intelligent Document Processing (IDP) powered by machine learning Automates the processing of trillions of pages for financial, insurance, and government organizations Challenges Results with Keebo Hyperscience began new initiatives to deliver dashboards and predictive models to…

Four Reasons to Use Keebo to Auto Optimize Snowflake

In How to simplify Snowflake Optimization, you learned about the four types of Snowflake optimizations:  And by reading Keebo’s Complete Guide to Optimizing Snowflake’s Cost and Query Performance, you learned how Keebo could easily automate these complex optimizations for you.…

How to Simplify Snowflake Optimization

Snowflake provides a secure and scalable database engine with a unique architecture that decouples compute and storage resources, allowing you to pay only for the resources you use. But sometimes Snowflake users struggle to optimize their Snowflake instances. Here are…