Description

Course Description:

The Data Warehousing with Snowflake is designed to equip learners with in-demand skills in modern cloud data management and analytics. Snowflake, a leading cloud-based data warehousing platform, enables seamless data storage, integration, and real-time processing at scale. This course covers the fundamentals of data warehousing concepts, Snowflake architecture, query optimization, data sharing, security, and advanced analytics. With hands-on projects and practical case studies, learners gain the expertise to build scalable data pipelines, manage structured and semi-structured data, and optimize performance for business intelligence applications. By the end of the program, participants will be industry-ready to work as Data Engineers, Cloud Data Specialists, or Snowflake Developers in top organizations.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Data Warehousing with Snowflake Certified Course:

• Snowflake Data Engineer
• Snowflake Developer
• Data Warehouse Engineer
• ETL/ELT Developer
• Data Integration Engineer
• Business Intelligence (BI) Analyst / Developer
• Cloud Data Warehouse Consultant
• Data Architect (Cloud/Snowflake)
• Big Data Engineer
• Cloud Engineer
• AWS/Azure/GCP + Snowflake
• Analytics & Insights Consultant
• Machine Learning Engineer
• Snowflake Integrated
• Data Governance Specialist
• Performance Optimization Specialist
• Freelance Snowflake Consultant

Essential Skills you will Develop Data Warehousing with Snowflake Certified Course:

• Snowflake Core Skills
• Snowflake SQL
• structured, semi-structured
• JSON, Avro, Parquet
• Data modeling
• creating and managing
• stages, streams, tasks
• stored procedures
• Time Travel, Zero-Copy
• Cloning & Fail-safe
• ETL / ELT & Data Integration
• Performance & Optimization
• Cloud & Ecosystem Skills
• Security & Governance
• Advanced Analytics & AI/ML
• Professional & Industry Skills

Tools Covered:

• Core Platform
• Data Integration
• ETL/ELT Tools
• Cloud Platforms
• Storage
• Business Intelligence (BI)
• Visualization Tools
• Programming
• Analytics Tools
• Data Streaming
• Messaging
• APIs & Connectors
• Security & Governance

Syllabus:

Module 1: Introduction to Data Warehousing & Snowflake Fundamentals of Data Warehousing (OLTP vs OLAP) Cloud Data Warehousing overview Snowflake architecture & components Snowflake Editions & Use Cases.

Module 2: Getting Started with Snowflake Setting up Snowflake account & interface overview Databases, Schemas, Tables, and Views Loading sample data Snowflake roles and access control basics.

Module 3: Snowflake SQL Essentials Querying tables with SELECT, JOIN, and FILTER Aggregations, subqueries, and window functions Advanced SQL constructs in Snowflake Using sequences, stored procedures, and UDFs.

Module 4: Data Modeling & Schema Design Star schema, Snowflake schema, and Fact-Dimension modeling Designing scalable and optimized data models Data normalization vs denormalization strategies Best practices for Snowflake data architecture.

Module 5: ETL/ELT & Data Integration Data loading methods: Bulk Load, Snowpipe, and Streams ELT workflows using dbt, Talend, and Matillion Transforming structured & semi-structured data (JSON, Avro, Parquet) Automating pipelines and workflow orchestration with Airflow.

Module 6: Performance Optimization & Query Tuning Micro-partitioning, clustering keys, and caching strategies Warehouse sizing & scaling (virtual warehouses) Query profiling and optimization techniques Cost management & resource monitors.

Module 7: Security & Governance Role-Based Access Control (RBAC) Data masking, encryption, and compliance management Auditing, monitoring, and logging in Snowflake Secure data sharing and Snowflake Marketplace.

Module 8: Advanced Snowflake Features Time Travel and Zero-Copy Cloning Materialized views & tasks External tables & data sharing Snowpark: Python, Java, and Scala integration.

Module 9: Analytics, BI & Machine Learning Integration Connecting Snowflake with Tableau, Power BI, and Looker Advanced analytics with Python and R Preparing Snowflake data for machine learning workflows Real-time analytics using Snowpipe and streaming data.

Module 10: Industry Projects & Case Studies Building a complete enterprise-level Snowflake Data Warehouse ETL project with structured & semi-structured data Business intelligence dashboards using Snowflake data Capstone project: Cloud-based data solution for real-world scenarios.

Industry Projects:

• Enterprise Data Warehouse
• ETL/ELT Pipeline
• Business Intelligence Dashboard Project
• Real-Time Data Streaming Project
• Machine Learning & Analytics Project
• Data Governance & Security Project

Who is this program for?

• Aspiring Data Engineers
• Database and Data
• Warehouse Professionals
• Business Intelligence (BI)
• AnalystsDevelopers
• ETL/ELT Developers
• Data Architects & Cloud Solution Engineers
• Analytics & Data Science Professionals
• IT Professionals & Consultants
• Students & Fresh Graduates

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com