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Snowflake cloud data warehouse fundamentals.

Snowflake cloud data warehouse fundamentals.
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Link : Snowflake cloud data warehouse fundamentals.
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What you'll learn

  • Snowflake architecture in detail.
  • How data processing happens in snowflake.
  • Secure data sharing in snowflake.
  • Understand different caching layers in snowflake.
  • Continues data load using snowpipe.
  • Clustering tables in snowflake and how it works under the hood.
  • Load data and unload data from aws and google cloud.
  • Snowflake internal stage and external stages.
  • Snowflake data sampling and its importance.
  • Detail overview about, snowflake clone , failsafe and data retention.
  • Unique features of Snowfalke ( time travel , undrop , table swap)
  • Best practices in snowflake

In this course you will get detailed insight into snowflake architecture. Once we are familiar with snowflake architecture we will leverage the knowledge to understand some of the very important features of snowflake like, time travel, clone or zero copy , drop and undrop and copy commands.

We will see different methods to load data and unload data from snowflake. Configuring snowflake with aws s3 and google gcs blob storages. We will do data load and unload from aws s3 and google gcs. We will also see how to execute queries on data stored in aws s3 and google gcs from snowflake.

We discuss best practices to create development databases using snowflake sampling techniques and different sampling algorithms of snowflake.

At the end of this course we will discuss some of the best practices that should be followed while using  snowflake database.
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