Snowflake : Zero to Hero in 6 mins

Soumak Das
6 min readSep 12, 2023

What Sets Snowflake Cloud Data Warehouse Apart?
Snowflake is a cloud-native data warehousing solution that harnesses the advantages of cloud computing while introducing several innovative features:

Automatic Scaling: Snowflake can dynamically scale its resources to accommodate changing workloads without manual intervention.
Zero-Copy Cloning: Snowflake enables the creation of clones of data or objects without consuming additional storage space, making data management more efficient.

Virtual Storage: Snowflake abstracts storage, allowing data to be logically organized while physically residing in cloud storage systems like AWS S3, Google Cloud Storage, or Azure Blob Storage.
Time Travel: Snowflake provides the ability to access historical data snapshots, facilitating data analysis at specific points in time.
Robust Security: Snowflake incorporates military-grade security measures, including encryption, to safeguard data.

Columnar Storage: Snowflake’s columnar storage enhances performance for analytical queries by optimizing data retrieval at the column level.
Intelligent Services: Snowflake offers features like Intelligent Services, data sharing, tasks, and streams to enhance data management and analytics capabilities.

Transparent Pricing: Snowflake maintains a straightforward and transparent pricing model, ensuring accessibility for businesses of all sizes.

The Role of the Storage Layer in Snowflake:
The storage layer in Snowflake serves as the repository for various data, tables, and query results. It leverages scalable cloud blob storage systems, such as AWS S3, GCP, or Azure, to store data independently of computing resources. This separation ensures maximum scalability, elasticity, and performance for data warehousing and analytics.

The Compute Layer in Snowflake:
Snowflake’s compute layer consists of virtual warehouses, which are clusters of computing resources responsible for executing data processing tasks. Virtual warehouses retrieve only the necessary data from the storage layer to fulfill query requests, optimizing resource usage and query performance.

The Function of Snowflake’s Cloud Services Layer:
The cloud services layer acts as Snowflake’s central control system. It manages user…



Soumak Das

Sr. Data Engineer @EY & Snowflake/Airflow/Databricks/AWS writer