Snowflake Certified Course

Course Description:

The Snowflake Certified Course is designed to help learners master the Snowflake Cloud Data Platform, a leading cloud-based data warehouse solution. The course covers Snowflake architecture, data storage, security, data sharing, query optimization, and integration with BI tools. By the end of the course, you’ll gain hands-on experience in managing and analyzing massive datasets in real time using Snowflake.

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 Snowflake Certified Course:

• Snowflake Data Engineer
• Cloud Data Engineer
• ETL/ELT Developer
• Business Intelligence (BI) Developer
• Data Analyst / Data Scientist
• Cloud Solutions Architect

Essential Skills you will Develop Snowflake Certified Course:

• Snowflake architecture and data warehousing concepts
• Secure data storage, cloning, and sharing
• Advanced SQL and query optimization

Tools Covered:

• ETL Tools: Talend, Informatica, Matillion
• BI Tools: Tableau, Power BI, Looker
• Programming: SQL, Python

Syllabus:

Module 1: Introduction to Snowflake & Cloud Data Warehousing What is Snowflake? Advantages over traditional warehouses Snowflake editions & cloud providers (AWS, Azure, GCP) Use cases in real-world industries.

Module 2: Snowflake Architecture & Key Concepts Multi-cluster shared data architecture Virtual warehouses, databases, schemas Storage vs compute separation Caching layers.

Module 3: Working with Snowflake Databases & Objects Creating and managing databases, schemas, tables, views Clustering & micro-partitioning File formats: CSV, JSON, Avro, ORC, Parquet Time Travel & Fail-safe concepts.

Module 4: Data Loading & Unloading in Snowflake Stages: Internal & External (S3, Azure Blob, GCS) COPY command for loading data Bulk loading best practices Data unloading techniques.

Module 5: Snowflake SQL & Functions Core SQL commands (DDL, DML) Built-in functions (string, date, analytic) User-defined functions (UDFs) Stored procedures.

Module 6: Security & Access Control Role-based access control (RBAC) Creating roles & users Secure views and masking policies Data encryption & compliance.

Module 7: Performance & Query Optimization Virtual warehouse sizing & scaling Query profiling & tuning Materialized views & clustering keys Result caching & warehouse monitoring.

Module 8: Advanced Snowflake Features Streams & Tasks (real-time change tracking) Zero-Copy Cloning & Data Sharing Snowflake Marketplace & Data Exchange Continuous data ingestion (Snowline).

Module 9: Integration with BI & ETL Tools Connecting Snowflake to Tableau, Power BI, Looker Integration with ETL tools: Talend, Informatica, Matillion Python & Snowflake Connector Using Snowpark for ML/AI.

Module 10: Projects & Case Studies Migrating on-prem database to Snowflake Building a real-time ETL pipeline Creating secure data sharing environment Business analytics dashboard with Snowflake + BI tool End-to-end capstone project.

Industry Projects:

• Real-time sales dashboard using Snowflake + Tableau
• Role-based data sharing for an enterprise scenario
• Optimizing queries and performance tuning

Who is this program for?

• Data Engineers & ETL Developers
• BI & Analytics Professionals
• Cloud Engineers & Architects

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com