From the course: Everybody's Introduction to Snowflake
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Data management in Snowflake - Snowflake Tutorial
From the course: Everybody's Introduction to Snowflake
Data management in Snowflake
- We've now covered a wide range of capabilities in Snowflake. We've also talked about the importance of balancing the technical needs of a database against business needs through practices such as security and governance. It's now time to talk about how this actually works in practice by spending some time talking about how we might go about running and managing our database. It's hard to do this from a theoretical standpoint. Instead, let's work through a simplified scenario and imagine we're setting up our own database in Snowflake. We'll keep this general. But we'll look at what decisions you should make and how to work through all of them to arrive at a setup that can help you achieve your aims. Let's start from the beginning. Our journey starts with defining our business requirements. You need to ask yourself crucial questions such as what kind of data you'll be storing? Is it structured, semi-structured, or both? What's the estimated volume of the data? And because all…
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Ensuring security on the Snowflake platform3m 49s
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Implementing data governance on the Snowflake platform3m 28s
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Querying your data3m 23s
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Data management in Snowflake5m 59s
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Visualizing your data with Snowsight5m 46s
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Understanding workloads in Snowflake6m 7s
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The power of data sharing4m 28s
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The Snowflake pricing model6m 55s
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