Data Science
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1:01:09Watch VideoBuilding Open Source Data Science Models on Snowflake
Data science is based on open source frameworks, libraries, and models. Join us to learn how you can harness the power and flexibility of the latest machine learning tools to quickly build, train, and
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17:31Watch VideoExternal Functions Tutorial
This is a step-by-step tutorial for Snowflake's external functions. Follow the tutorial here and you'll be able to run web services inside Snowflake pipelines using external functions. This tutorial s
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Read ContentUS Foods Analyzes Transactions from 300,000 Customers with Snowflake and DataRobot
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Read ContentSix Things You Need to Know about Machine Learning to Be Successful
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Read ContentCloud Data Engineering for Dummies
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Read ContentUniper Boosts Performance by 10x and Enables AI-Powered Commodity Trading with Snowflake
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Read ContentHarness the Power of AI and ML
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Read ContentCEMEX: Enabling a Data Strategy for a Building Materials Platform with a Snowflake Data Lake
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Read ContentMicron: Migrating 500 TB of Data from a Legacy Data Warehouse to Snowflake
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Read ContentYamaha: Orchestrating a Scalable Enterprise BI Infrastructure at 5x the Speed
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Read ContentA Cloud Data Platform for Data Science
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Read ContentMarketing Analytics: Putting Data Science and Machine Learning to Work
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Read ContentFive Things A Data Scientist Can Do To Stay Current
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Read ContentHow to Analyze JSON with SQL
To thrive in today’s world of data, knowing how to manage and derive value from of semi-structured data like JSON is crucial to delivering valuable insight to your organization.
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Read ContentTDWI Best Practices Report: Data Science and Big Data: Enterprise Paths to Success
Big data and data science can provide a significant path to value for organizations. These technologies, methodologies and skills can help organizations gain additional insight about customers and ops
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