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Unveiling the Enchanting World of Snowflake: Dive into its Concept, Architecture, and User Workflow (2022)


Snowflake Basics – Concept | ⁤Architecture | ⁢Workflow

Hi Friends,

Welcome to‍ your YouTube channel “IT k Funde” where we make I.T. interesting for everyone (Tech or⁣ No-Tech).

In this video, we will explore the world of Snowflake, a highly requested topic on our channel. Although I haven’t had the opportunity to work with Snowflake personally, I have conducted extensive research to provide you with a basic understanding of this technology.

Snowflake ‌Inc. is a cloud computing-based data warehousing company that⁤ offers a‌ cloud-based data storage and analytics service known as‍ “data warehouse-as-a-service.” It allows users to store and analyze data using cloud-based hardware and software. Snowflake can be deployed on various cloud platforms⁢ such as AWS, Azure, and GCP.

In this video, we will cover the following topics:

  1. Snowflake Basic Concept & Features
  2. Snowflake High-Level Architecture
  3. Snowflake User Workflow

By the end of this video, you will ⁢have a fair understanding of what Snowflake is and how it works at a high level.⁣ So, let’s dive in!

Snowflake Basic Concept & Features

Snowflake is an analytics database or data warehouse-as-a-service that can be deployed ⁣on any cloud provider. It stands ⁣out due to its unique multi-cluster⁣ shared architecture, which combines the benefits of both shared and shared-nothing architectures. Snowflake is‌ user-friendly, flexible, scalable, and its pricing depends on the data and processing requirements.

Key Features:

  • User-friendly
  • Faster
  • Flexible
  • Scalable
  • Pricing based on data and processing

Snowflake High-Level Architecture

Snowflake’s architecture consists of three ‌main components:

Component Description
Storage Central area where tables and views are stored. Supports structured and unstructured data.
Compute Virtual warehouses that‌ execute queries using ⁤compute resources. Can ‌scale up or down based on demand.
Services Manages user authentication, ​virtual warehouses, overall service, and connectivity to Snowflake.

Snowflake ​User Workflow

The user workflow in Snowflake involves the following steps:

  1. User connects to Snowflake using client drivers and specifies the⁢ virtual ‌warehouse for query execution.
  2. Services ⁤layer authenticates the user and creates a query execution plan.
  3. Query execution plan is sent to the selected virtual warehouse.
  4. Virtual warehouse fetches data from the ‍central storage and executes the⁤ query.
  5. Results are ​returned to the user.

With this simple workflow, users can connect to Snowflake and run queries efficiently.

I ⁢hope this video has provided you with a basic understanding of Snowflake ‍and its key concepts.


  1. Hi Anshul,

    Greetings from Germany !!

    I have became a great a fan of you for the following points

    1) You are a great presenter
    2) You always breakdown the overall concept in a simple understandable way for all audiences
    3) You always do a great research on any topic
    4) I was inspired from your videos, i started learning cloud and working not just by directly doing some courses from any instructor but i realised Networking is one of the grey areas which is very important and boring/dull subject with out knowing the basics it's difficult to get into it, so i was impressed the way you prepared each and every topics in a simple and very understandable way
    5) After working in IT world for more than a decade never realised the overall concepts , i just did coding, programming, but now learning from your videos a lot conceptually and usecases.

    Every day is a great learning as i stop over to watch your videos

    !! You are a Great Teacher/Instructor

    Thanks a lot Anshul for all the efforts and Interest in sharing knowledge

    Request – can you make some vids on 1) AWS and also compare some key services against AWS vs GCP vs Azure 2) Databricks – how it is different from snowflake and what is special about it ? or any other cloud providers


  2. Hi I understand very well …I have one doubt please let me know that ……in the admin role in which concepts we have to cover and also the developer …..

    Then put some more videos on the snowflake.. thank you so much for this ….this is useful for the begginers …

  3. Thanks Anshul, this is extremely helpful as always. Love your videos and the way you simplify and explain complex concepts. Requesting you to do 2 videos 1) databricks and 2) usecases around databricks and Snowflake, when to use what

  4. Hello, As you mentioned there is one storage for all the different warehouses.
    So, All the warehouses will query the same storage?
    How flexible DMLs on snowflake?
    Is it possible that 1 warehouse is with GCP and another warehouse is with AWS for example!


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