Master Snowflake Data Engineering

Become job-ready with real-time projects and hands-on training.

Course Overview

Learn Snowflake from basics to advanced with real-time industry projects.

Course Curriculum

Module 1: Introduction

  • Introduction to Snowflake
  • What is Snowflake?
  • Evolution of Data Warehousing
  • Traditional vs Cloud Data Warehousing
  • Snowflake Editions & Pricing
  • Key Features & Benefits
  • Real-world Use Cases
  • Snowflake vs Redshift vs BigQuery

Module 2: Architecture

  • Snowflake Architecture
  • Multi-cluster Shared Data Architecture
  • Database, Schema & Table Structures
  • Virtual Warehouses (Compute Layer)
  • Storage Layer (Micro-partitions)
  • Cloud Services Layer
  • Query Processing Flow
  • Result Caching & Metadata

Module 3: Security & Access Control

  • Users, Roles & Privileges
  • Role Hierarchy & Best Practices
  • RBAC (Role-Based Access Control)
  • Network Policies
  • Multi-Factor Authentication (MFA)
  • Data Encryption (At-rest & In-transit)
  • Column-level Security
  • Row Access Policies
  • Masking Policies

Module 4: Data Loading & Unloading

  • Internal & External Stages
  • File Formats (CSV, JSON, Parquet, Avro)
  • COPY INTO Command
  • Bulk Data Loading
  • Loading from AWS S3, Azure Blob
  • Error Handling & Validation
  • Data Unloading (Exporting Data)
  • Compression Techniques

Module 5: SQL & Data Transformation

  • DDL, DML, TCL Commands
  • Joins (Inner, Outer, Cross)
  • Subqueries & CTEs
  • Window Functions
  • Aggregations & Grouping
  • Stored Procedures
  • User Defined Functions (UDFs)
  • Views & Materialized Views
  • Data Transformation Techniques

Module 6: Performance Optimization

  • Query Performance Tuning
  • Warehouse Sizing & Scaling
  • Auto Suspend & Resume
  • Clustering Keys
  • Micro-partition Pruning
  • Caching (Result, Metadata, Warehouse)
  • Query Profile Analysis
  • Cost Optimization Techniques

Module 7: Data Sharing & Marketplace

  • Secure Data Sharing Concepts
  • Creating Shares
  • Consumer & Provider Accounts
  • Reader Accounts
  • Snowflake Data Marketplace
  • Cross-region Data Sharing

Module 8: Snowpipe & Automation

  • Introduction to Snowpipe
  • Continuous Data Ingestion
  • Event-based Triggers
  • Auto Ingest Setup
  • Monitoring Snowpipe
  • Error Handling

Module 9: Streams & Tasks

  • Change Data Capture (CDC)
  • Streams Concepts
  • Types of Streams
  • Tasks Scheduling
  • Building Data Pipelines
  • Automation Workflows

Module 10: Time Travel & Fail-safe

  • Time Travel Concepts
  • Data Recovery Techniques
  • Undrop Tables & Schemas
  • Retention Periods
  • Fail-safe Mechanism
  • Data Protection Strategies

Module 11: Semi-structured Data

  • Handling JSON, XML, Avro
  • VARIANT Data Type
  • Parsing Semi-structured Data
  • Flatten Function
  • Querying Nested Data
  • Best Practices

Module 12: Integration with Cloud Platforms

  • Integration with AWS S3
  • Integration with Azure Blob Storage
  • Integration with GCP
  • External Tables
  • Data Lake Integration

Module 13: Real-time Project

  • End-to-End Data Pipeline Design
  • ETL/ELT Implementation
  • Data Modeling (Star Schema)
  • Data Validation
  • Performance Optimization in Project
  • Deployment Strategies

Course Details

  • Duration: 6–8 Weeks
  • Mode: Online
  • Projects: Real-time
  • Support: Resume + Interview

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Trainer Profile

Mr. Ramesh Kandukuri will be leading the Generative AI training program. He brings over 25 years of IT experience in the United States, specializing in data technologies and advanced enterprise solutions.

Throughout his career, he has held roles such as Database Developer, Database Administrator, Data Warehouse Engineer, Solution Architect, and Data Integration Specialist. He has successfully contributed to several large-scale data and application migration projects.

His domain expertise spans:

In addition to his professional achievements, Mr. Kandukuri has conducted over 200 training batches across technologies such as:

With his vast industry expertise and proven training experience, he is well-equipped to mentor learners in mastering the fast-evolving field of Generative AI.

Contact Trainer at:
   +1 (732) 245-1325  |  +91 6281 405276  |  ramesh@vigilantcorpinc.com