Data Lake
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Happy Money Transforms Consumer Lending With Huge Performance Gains on Snowflake’s Data Cloud
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1:01:29
Webinar - Top Trends in Modern Data Architecture Design
Having a solid data lake strategy is key for building an effective modern data architecture. While data lakes remain a significant investment for companies, there are many new improvements, solutions,
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Okta Elevates Data Analytics by Ingesting 500 Million Events per Day Into Snowflake
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Annual Cost Savings for Portland General Electric With the Snowflake Data Cloud
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Convoy Builds a Continuous Data Pipeline with the Data Cloud
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17:31
External 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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Critical Success Factors for Data Lake Architecture
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10:50
Demo: How to use Snowflake as query engine for data lake
This demo shows you how to use Snowflake to complement your existing data lake, and use it as a query engine without loading data into Snowflake.
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Data Transformation for Data Lakes
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11:46
Demo: How to use Snowflake as a transformation engine
This is a demo showcasing how you can use Snowflake to complement your existing data lake, and use it as a transformation engine without loading data into Snowflake.
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Test-Driving Snowflake for Data Lake
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QuoteWizard: Meet the Customer Q&A
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CEMEX: Enabling a Data Strategy for a Building Materials Platform with a Snowflake Data Lake
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The Little Book of Big Success with Snowflake: Data Lakes
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Data Management and the Data Lake: Advantages of a Single Platform Approach
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Core Digital Media: Digital Advertiser Switches from Teradata and Boosts Performance by 30%
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Cloud Data Lakes for Dummies
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Devon Energy: Consolidating Many Systems to One Modern Data Lake
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52:57
Data Warehouse or Data Lake? How You Can Have Both in a Single Platform
Data is one of the most critical assets that an organization owns. Almost every organization builds a data architecture to store, prepare, manage, and analyze its data. Conventional thinking tends to
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Data Modeling in the Age of JSON
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