From the course: Introduction to Modern Data Engineering with Snowflake
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Scenario briefing and account setup - Snowflake Tutorial
From the course: Introduction to Modern Data Engineering with Snowflake
Scenario briefing and account setup
You won't always have direct access to the data that you want to ingest into Snowflake. In fact, that data may be housed in an entirely different data system. And by different data system, I'm not necessarily referring to cloud object storage integrations. I'm referring to entirely different platforms or databases, ones that you might not have direct access to. This scenario presents its own unique set of challenges. This is where Snowflake native connectors are great options. Snowflake native connectors provide native integration of third-party applications and database systems in Snowflake. They allow you to access data in other systems without the need to manually integrate against API endpoints. Data automatically refreshes based on your desired frequency in your Snowflake account. Many of the connectors are in the form of Snowflake Native Applications, which means you can find them on the Snowflake Marketplace. Let me quickly demonstrate where you can find connectors. And by the…
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Contents
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What is data ingestion?3m 49s
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Batch ingestion with snowflake4m 14s
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Loading data from snowflake marketplace6m 27s
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Loading data using snowflake’s web interface7m 18s
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Optimize compute resources for efficient batch ingestion6m 56s
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Loading data using snowflake CLI7m 55s
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Loading data using the COPY INTO command8m 19s
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Scenario briefing and account setup2m 15s
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Ingesting data from other data systems using connectors3m 8s
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Recap and best practices for batch ingestion3m 8s
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