Snowflake Training in Hyderabad Snowflake Training - Enroll Now
                      Snowflake 101
Master Modern Data 
Analytics
Unlocking the Power of Cloud 
Data Platforms
Introduction to Snowflake
What is Snowflake?
A cloud-native data platform designed for 
modern data analytics. 
Snowflake Training in Hyderabad
Fully managed SaaS (Software-as-a-Service) 
solution.
Separates storage, compute, and services for 
enhanced flexibility.
Why Choose Snowflake for 
Data Analytics?
Ease of Use: No hardware or software to 
manage.
Multi-cloud Support: Works seamlessly on 
AWS, Azure, and Google Cloud.
Data Sharing: Enables secure and efficient data 
collaboration.
Key Features of Snowflake
Data Warehousing: Fully managed, high-
performance data warehousing.
Data Lakes: Supports structured and semi-
structured data (JSON, Avro, Parquet).
Time Travel: Access historical data at any 
point in time.
Zero-Copy Cloning: Create instant copies of 
data without storage duplication.
Snowflake Architecture
Three Layers:
Storage Layer: Centralized data storage.
Compute Layer: Virtual warehouses for 
processing.
Cloud Services Layer: Manages metadata, 
security, and optimization.
Decoupled Design: Enables 
independent scaling and cost efficiency.
The Snowflake Data Cloud
Enables data collaboration across 
organizations.
Supports data marketplaces for third-party 
data access.
Snowflake Use Cases
Data Warehousing: Centralized analytics for 
large datasets.
Data Engineering: ETL/ELT pipelines for data 
transformation.
Data Science: Advanced analytics and 
machine learning.
Data Applications: Build and deploy data-
driven applications.
Visuals: Icons or images representing each 
use case.
Snowflake vs Traditional Data 
Warehouses
Traditional: Fixed storage and compute, 
limited scalability.
Snowflake: Elastic scaling, pay-as-you-go 
pricing, no maintenance.
Advantages: Faster performance, lower costs, 
and easier management.
How to Get Started with 
Snowflake
Sign up for a Snowflake account.
Choose your cloud provider (AWS, Azure, 
Google Cloud).
Set up virtual warehouses for compute.
Load and query data using SQL.
Explore advanced features like data sharing 
and cloning.
Snowflake Pricing Model
Separate Costs: Storage and compute billed 
independently.
Flexible Plans: On-demand or pre-purchased 
capacity.
Snowflake Ecosystem
Integrations: Connects with BI tools (Tableau, 
Power BI), ETL tools (Fivetran, Talend), and 
programming languages (Python, R).
Partners: Collaborations with AWS, Azure, 
Google Cloud, and more.
Marketplace: Access to third-party datasets 
and applications.
Visuals: Ecosystem diagram or partner logos.
Real-World Success Stories
Case studies of companies leveraging 
Snowflake for data analytics.
Examples:
Retail: Optimizing supply chain and customer 
analytics.
The Future of Snowflake
Continued innovation in data analytics and 
AI/ML integration.
Expansion of the Data Cloud ecosystem.
Enhanced data governance and security 
features.
Tips for Mastering Snowflake
Learn SQL for querying and data manipulation.
Leverage Snowflake’s documentation and 
community resources.
Experiment with virtual warehouses and 
optimization techniques.
Conclusion
Recap of Snowflake’s key benefits and features.
Invitation for questions and discussion. 
Snowflake Training
Contact information or resources for further 
learning.
For More Information About
 Snowflake Training Institute in 
Hyderabad
Address:
Flat no: 205, 2nd Floor, NILGIRI Block, 
Aditya Enclave, Ameerpet, 
Hyderabad-16
Mobile No: +91-9989971070
Visit:  www.visualpath.in
E-Mail Id : [email protected]
Thank You
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