4 Steps to Optimizing Cloud Spend Management with Snowflake
Technology has powered the evolution of finance departments by enabling them to become proactive and…
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Our Secret to Offering the Best Customer Support Possible? Using Snowflake Itself
Snowflake is a fast-growing company, and our global Support organization ensures our team scales accordingly…
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How Snowflake Support Uses Data to Improve the Customer Experience
Customer advocacy is one of the Snowflake Support team’s most important roles. Working closely with…
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Sales Compensation in a Consumption Pricing World
Today’s organizations want stronger alignment between the cost of SaaS solutions and the value derived…
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Automating SOX and Internal Controls Monitoring with Snowflake
With the surge of IPOs, fast-changing business environments, and increasing regulatory requirements, Sarbanes-Oxley (SOX) compliance…
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Snowflake Startup Challenge: Entry Window Closing Soon!
Still debating if you should enter the Snowflake Startup Challenge? Perhaps you’ve registered but haven’t…
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Migrating Airflow from Amazon EC2 to Kubernetes
Data engineers, data scientists, and data analysts at Snowflake build various ETL and ELT data…
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Unlock the Power of Marketing Analytics with the Snowflake Data Cloud
Over the past two decades, marketers have faced an uphill battle in trying to turn…
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The Rocket Behind Snowflake’s Rocketship
Not a day goes by without questions from candidates, customers, and other interested parties about…
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Snowflake Unistore
A modern approach to working with transactional and analytical data together in a single platform
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Using MLOps to Quickly Deploy and Sustain Machine Learning Pipelines
Machine learning operations (MLOps) is a process that makes it possible to quickly deploy and easily sustain machine...
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Snowflake for Cybersecurity
Learn how to perform cybersecurity analytics with unprecedented speed and keep all your security-relevant data in one place...
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Cloud Data Warehousing for Dummies (2nd Edition)
Download Snowflake's Cloud Data Warehousing for Dummies and learn how to get the most out of your data with full elasticity.
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