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Getting Control of Data Cloud Costs:
A Snowflake Case Study

On Demand

When the amount of money Instacart spends on Snowflake became public (it was tens of millions of dollars), the news was a shock to those not familiar with cloud data warehousing platforms such as Snowflake. But for those of us who work on Snowflake every day, we know that costs can grow quickly because the same reasons that make cloud data warehouses easy to adopt are the same reasons spending can get out of control.

Snowflake, their peers, and their customers have a shared interest in long term success. If your data team is now discussing how to bring financial control and accountability to your cloud spending, then this webinar is for you. Join Kevin Petrie from Eckerson Group and Carl Dubler from Keebo to learn what you need to know, whether you are a data team of one or one hundred.

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What you’ll learn

1
Why companies struggle with the cost of cloud data warehousing
2
Whether cloud data warehousing still makes sense financially
3
How business and data teams can get their cloud costs back under control
4
What steps data leaders can take tomorrow to start governing cloud costs

About the presenters

KAP

Kevin Petrie, Eckerson Group

Kevin is the VP of Research at Eckerson Group, where he manages the research agenda and writes about topics such as data integration, generative AI, data observability, machine learning, and cloud data platforms. For 25 years Kevin has deciphered what technology means to practitioners, as an industry analyst, instructor, marketer, services leader, and tech journalist. A frequent public speaker and co-author of two books about data management, Kevin most loves helping startups educate their communities about emerging technologies.

carl-dubler-image-300x300

Carl Dubler, Keebo

Carl is Head of Product Marketing at Keebo. He has done nearly every role in the analytics business since the late 1990s at Microsoft, SAP, and startups.

About Keebo: 
Fully automated Snowflake optimization

Our robots never stop working–and you only pay a percentage of the savings.

fully-automated

Fully automated
Optimizes Snowflake automatically in real time

fast

Fast
No changes to your system, results in 24-48 hours

friendly

Friendly
Never accesses user data; adjustable and customizable

Watch a brief introduction to Keebo