Data Warehousing Modernization
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Read ContentItalian Engineering Group Bonfiglioli Unlocks Data-Driven Manufacturing With Snowflake
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Read ContentCapspecialty Accelerates Time to Market by 20x With Snowflake
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Read ContentBlackboard Builds Its Cloud Data and Analytics Products on Snowflake
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Read ContentSainsbury’s Engages With Professional Services to Optimize Snowflake and Create Center of Excellence
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Read ContentState Street Accelerates Investment Insights by Building Alpha Data Platform on Snowflake
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Read ContentiPipeline Decreases Product Launch Time by 10x With Snowflake
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Read ContentFast, Continuous Data Replication For Data Consolidation Into Snowflake With HVR
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Read ContentRapid Spatial Analysis With Snowflake and Carto
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Read ContentBetfair Australia Embraces Autonomy with Snowflake
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Read ContentCanva Empowers its Data Analysts and Scientists with Snowflake
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Read ContentCoupa: Managing Data for a Rapidly Expanding Company
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Read ContentDevon Energy: Consolidating Many Systems to One Modern Data Lake
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Read ContentHow Snowflake Automates Performance in a Modern Cloud Data Warehouse
How Snowflake Automates Performance in a Modern Cloud Data Warehouse
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Read Content5 Best Practices for Data Warehouse Development
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Read Content5 Reasons to Modernize Your Data Warehouse with the Data Cloud
New data warehouse technology provides a means to use more types of data and data sources. Snowflake enables you to derive maximum benefit from your data.
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1:59Watch VideoIntroducing Snowflake Architecture in 90 Seconds
What makes Snowflake different? In one word, architecture. This 90-second video describes the three pillars of Snowflake’s unique architecture: the separation of storage, compute, and services. Availa
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1:02:24Watch VideoGigaom Webinar: Why the Data Warehouse is Back (And Why it Never Really Went Away)
The rise in Enterprise data volumes and the increasing use of semi-structured data gave rise to Big Data and NoSQL platforms. But the conventional data warehousing model never went away. And with inn
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1:02:59Watch VideoWebinar: 7 Tips for Modern Data Warehousing
For modern, data-driven organizations, it is crucial to support a variety of analytics needs, including operational and reporting requirements, while enabling you to maximize the time you can devote t
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3:37Watch VideoThe Snowflake X-Factor: Separate Metadata Processing
Metadata-driven cloud services is the brilliance behind Snowflake. Lead software engineer, Ashish Motivala explains why, including a special bonus.
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Read Content
Migrate to the Cloud: The How and Why of Modernizing Your Data Platform
Learn how to successfully modernize your data warehouse by migrating to the cloud. There are many reasons organizations choose to embrace cloud computing. But it's important to start with a plan.
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