
Snowflake Summit 2024: Changes & Trends in the Data Cloud Community
This year’s Snowflake Summit featured some dramatic changes that signal positive things for the market overall. Here’s our summary of the event.

This year’s Snowflake Summit featured some dramatic changes that signal positive things for the market overall. Here’s our summary of the event.

What you need to know to bring financial control and accountability to your cloud spending.

It’s easy to say “yes” as a Snowflake administrator! Because of this, if you don’t manage your usage and consumption of Snowflake credits, the ballooning costs can cause quite a shock.

Snowflake’s advice on optimizing and saving money over the years has always suggested a lot of human involvement. Machine Learning and automation can make this cheaper and more effective.

Because Snowflake is a pay-as-you-go data cloud, and the main thing you are paying for is warehouse size, it pays to get the warehouse size right. You can try to do this on your own or enlist a fully-automated optimizer like Keebo to do it for you. Let’s discuss.

Here at Keebo, we are the only fully-automated Snowflake optimizer, so we talk to Snowflake customers every day. Most of them are keenly interested in saving money. Who wouldn’t be?

Hello, humans. If you are building a list of things to improve in 2024, don't forget your Snowflake warehouses. Five suggestions for you.

Snowflake Budgets are a good start, but an incomplete approach to controlling costs.

Give data teams their time back, boost performance, and save money with fully automated data warehouse and analytics optimizations.

Keebo's automation comes with complete visibility and control, so you can be as hands-on as you like.

A Snowflake warehouse that is too small will cause all kinds of grief. Here’s how to detect and fix this problem and use AI to automate it all.

It’s incredible that in the LLM and GenAI era, we’re still approaching our database problems the same way we have been for the last 40 years: manual, expensive, one-query-at-a-time process.