From the course: Introduction to Modern Data Engineering with Snowflake

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Conclusion

Conclusion - Snowflake Tutorial

From the course: Introduction to Modern Data Engineering with Snowflake

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Conclusion

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Let's reflect for a moment. It's incredible to look back on how far you've come in such a short amount of time. I promised that by the end of this course, you'd know enough about data engineering with Snowflake to be dangerously good at applying these concepts to build data pipelines on your own. To meet this objective, we designed this course to cover the most essential and practical Snowflake features within the ITD framework. We covered all sorts of ways to ingest data into Snowflake, from loading data from the Snowflake Marketplace to using the web interface and command line to knowing how to ingest data in cloud object storage into Snowflake with just a bit of SQL. These are core techniques and concepts you'll frequently encounter and use. For transforming data, we covered quite a bit, specifically how to use SQL or Snowpark for Python to perform data transformations, how to reuse logic by creating UDFs and stored procedures, and how to use streams and dynamic tables for…

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