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Snowflake Mastery Bootcamp

By Shobhit In Grow Data Skills

Self Paced
English
Completion Certificate

Demo Class Video

1 Year

Validity (From the date of Enrollment)

30 Hours

Duration

12

Sessions

2

Projects

INR 4500

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This course includes

Content Duration30 Hours
Total Sessions12
Total Industry Projects2
Quality Assignments & quizzes after each module
Interview preparation guide
Dedicated placement assistance
Resume & Linkedin profile making
Offline doubt support on private discord group
Certificate of completion

Course Content

✅ Class - 1

Fundamentals of Snowflake
Overview about Snowflake
Snowflake Vs Traditional RDBMS systems
Cloud Providers
Snowflake Architecture
Three-Tier Snowflake architecture
Types of Cache in Snowflake
Snowflake Editions and Features
Snowflake Editions and comparison
Provisioning a Free Tier Account
Snowflake Editions and comparison
Creation of Free Trial Account for Snowflake
Snowflake Web Interface Overview
Walkthrough of Snowflake GUI and features available
Objects creation via GUI
Virtual Warehouse and Resource Monitors
Overview and Walkthrough of VW and RM concept
Creation of VW and RM along with assignment
Types of VW and RM

✅ Class - 2

Data Storage in Snowflake
Concept of MicroPartition and columnar storage
Concept of Credits in Snowflake
Supported Data Types
Various data types compatible with Snowflake
Defining Constraints and Using Operators
Enforced and nonenforced constraints and operators in Snowflake
Database and Type with Features
Transient database
Regular Database
Various components and comparison
Table Types with Features
Transient Tables
Temporary Tables
Permanent Tables
Dynamic Tables
Comparison between various table types in terms of features
Types of Views with Features and Applications
Secure Views
Materialized Views
Normal views
Implementation and necessity for each view type
Role Based Access Control + Access Management
User creation & Role Creation
Grants management to users and roles
Grants revoke from users and roles

✅ Class - 1

Snowflake Stage Types
File Format Concepts
Data Loading Using the Snowflake Web Interface (GUI)
Data Loading Using the Command Line Interface (CLI)
Connectivity between Snowflake and Microsoft Azure)
Data Loading from Microsoft Azure into Snowflake

✅ Class - 2

Loading and Transforming Semi-Structured Data
Continuous Data Ingestion with Snowpipe
Implementing Streams in Snowflake
Implementing Tasks in Snowflake
Slowly Changing Dimensions (SCD) in Snowflake

✅ Class - 1

Dynamic Tables in Snowflake
Data Masking Techniques in Snowflake
Row-Level Security (RLS) with Row Access Policies (RAP)
Object Tagging in Snowflake
Metadata Tables in the Account Usage Schema
Key Metadata Tables and Data Interpretation

✅ Class - 2

Data Transformation with Stored Procedures
Data Transformation with User-Defined Functions (UDFs)
Data Sharing in Snowflake
Snowflake Marketplace and Partner Connect
Caching Mechanisms in Snowflake

✅ Class - 1

Building Streamlit Applications in Snowflake
Implementing Semantic Views in Snowflake
Raising Support Cases in Snowflake
Clustering in Snowflake
Financial Operations (FinOps) in Snowflake

✅ Class - 2

Snowflake Time Travel
Zero-Copy Cloning in Snowflake
Snowflake Data Unloading
Data Sampling in Snowflake
Configuring Network Policies and Rules

✅ Class - 1

Data Metric Functions in Snowflake
Performance Tuning and Best Practices in Snowflake
Connectivity of Snowflake with Python
Connectivity of Snowflake with Power BI
Managing Alerts and Email Notifications in Snowflake

✅ Class - 2

Cortex AI in Snowflake
DBT Projects inside Snowflake
Snowflake API using OAuth
Snowflake Interview Questions

✅ Project - 1: Zomato Data Warehouse & Analytics on Snowflake
Objective: This project implements a modern Snowflake-based data warehouse for a food delivery platform. It enables seamless data ingestion, dimensional modeling, and real-time analytics, empowering stakeholders with actionable insights into customer behavior, restaurant performance, order trends, and promotional effectiveness. A Streamlit dashboard integration ensures interactive visualization for data-driven decision-making.
Key Points:
Staged Data Ingestion for structured and semi-structured data
Dimensional Modeling with SCD1 & SCD2 using Streams and Tasks
Curated KPI Views for monitoring business performance
Integration with Streamlit Dashboard for interactive analytics
Real-Time Insights into orders, customers, restaurants, and promotions

✅ Project - 2: Driving Insights: Building a Snowflake Data Engineering Pipeline for Maruti Suzuki Car Ecosystem
Objective: Developed a Snowflake-based data engineering pipeline for Maruti Suzuki, consolidating sales, service, and manufacturing data. Leveraged real-time dealership feeds to drive demand forecasting, after-sales service optimization, and improved customer experience.
Key Points:
Implemented Snowpipe for continuous data ingestion
Utilized Streams and Tasks for real-time data processing
Supported after-sales service optimization through timely insights
Enhanced customer experience management with unified data views
Integrated sales, service, and manufacturing datasets into a single platform

Attention Seeking Resume Preparation and Interview Strategies
Strategies To Crack Tech Interviews
Linkedin Profile Making
How To Expand Your Professional Network On Linkedin
How To Use Various Job Portals
How To Approach For Referrals

Course Schedule

Mode of the Course:

Self Paced

Course Duration:

30 Hours

Total Sessions:

Total Projects:

Validity:

1 Year (From the date of enrollment)

Prerequisite:

Passion And Willingness To Learn

⚠️ Important Notice :

The video may not work on Linux due to DRM restrictions. It is only accessible on Chrome when using Windows or macOS.

Workaround: To access the video on Linux, you can create a Windows virtual machine (VM) and watch the video through the VM. Alternatively, you can use our Android or iOS application to view the video on your mobile device.

Instructor

Shobhit Garg

Data Engineering Leader | 10+ Years in Agile Data Warehousing, Core expertise spans: Snowflake architecture, dbt modeling, ETL, Azure DevOps, and data modeling (star/snowflake schemas).