From the course: Advanced Data Engineering with Snowflake
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Observability with Snowflake Trail - Snowflake Tutorial
From the course: Advanced Data Engineering with Snowflake
Observability with Snowflake Trail
We've covered the foundational concepts of observability, so how exactly does Snowflake implement them? Observability with Snowflake is made up of a few foundational objects and features: event tables, alerts, and notifications. Event tables are a special type of table in Snowflake. They're used for storing logs and traces that are generated from code in your Snowflake environment. They're straightforward to set up and use, and I'll show you how to do that shortly. If you need to record an alert when data in Snowflake meets certain conditions, you can use a Snowflake alert. These are very handy when combined with notifications so that you can help promote action on your team, and this is because you can take alerts one step further with notifications. For example, you can use an alert to send a notification to say an e-mail address or a queue. You can imagine specific notifications being useful to your teammates who may be keeping track of different dimensions of a data pipeline. This…
Contents
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Observability for data engineering3m 57s
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(Locked)
Foundational concepts of observability3m 16s
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Observability with Snowflake Trail2m 2s
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Event Tables in Snowflake4m 20s
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Logging in Snowflake8m 35s
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Traces in Snowflake8m 29s
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Alerts in Snowflake8m 8s
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Notifications in Snowflake7m 51s
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Observability with third-party tools59s
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Recap and best practices for observability with Snowflake2m 2s
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Conclusion1m 27s
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