From the course: Introduction to Modern Data Engineering with Snowflake
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Ingesting data from other data systems using connectors - Snowflake Tutorial
From the course: Introduction to Modern Data Engineering with Snowflake
Ingesting data from other data systems using connectors
We've covered a range of common and powerful techniques for performing batch ingestion with Snowflake. The techniques have ranged from no-code options that allow you to quickly load data into your Snowflake account to techniques that allow you to ingest data from a local file system or from cloud storage. Let's quickly recap the techniques that we covered in this module. Loading data from Snowflake Marketplace, batch ingestion using Snowflake's web interface, batch ingestion with Snowflake CLI, batch ingestion using the COPY INTO command and cloud object storage, how you might load data using Snowflake connectors. You also learned how to make the most out of Snowflake compute resources, virtual warehouses so that you're optimally utilizing them when performing batch ingestion. This is an especially useful concept that will level you up as you build your data pipelines. All of these ingestion techniques play important and unique roles in building data pipelines, but as always, your use…
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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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