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Snowflake Cloud Data Warehousing-Basics to Advanced concepts
Rating: 4.2 out of 5(380 ratings)
2,235 students

Snowflake Cloud Data Warehousing-Basics to Advanced concepts

Shape Up the Data in the cloud
Created byKullayappa Munagamani
Last updated 7/2020
English
English [Auto],

What you'll learn

  • The goal of this course is to understand cloud data warehousing and how to migrate data from on premises database to cloud

Course content

14 sections • 22 lectures • 2h 35m total length

  • Introduction to Cloud Data Warehousing4:28

    We will discuss what is cloud data warehouse and other vendors in the Market

  • Key concepts and Architecture5:03

    Explore Snowflake's cloud data warehousing concepts, architecture, and the role of virtual warehouses, cloud services, and metadata management in secure, scalable data storage.

  • Cloud platforms2:35

    Explore cloud platforms such as Snowflake, Google BigQuery, and other cloud-native services, and learn how scalability, storage usage, pricing, and security with managed maintenance shape cloud data warehouse deployments.

Requirements

  • Good internet connectivity and admin privileges to the current machine

Description

This tutorial helps you to understand basic and advanced concepts of cloud technologies and their advantages over traditional and on premises data warehouse. You will learn how to load the data and unload the data from/to snowflake account. We create snowflake tasks which will be used to schedule stored procedures or data loading activities. We cover discussing about snowpipe which is a continuous data loading process. Snowflake comes with Time travel and zero copy cloning, We do discuss about these concepts in this tutorial.

Who this course is for:

  • Anyone who has data warehousing background.

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