Description
✅ What You Will Learn
📌 Module 0 – Snowflake Data Cloud Demo
📌 Module 1 – Data Warehousing Fundamentals
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Overview of Data Warehousing
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RDBMS vs Hadoop vs Snowflake Architecture
📌 Module 2 – Snowflake Architecture Deep Dive
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Virtual Warehouses
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Time Travel, File Safe, and Table Types
📌 Module 3 – Data Loading & Organization
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Data Lake & AWS S3 Integration
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COPY Command, File Formats, and Error Handling
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Validation Modes & COPY History
📌 Module 4 – Snowflake Tasks & Access Control
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Role-Based Access Control (RBAC)
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Task Automation & Scheduling
📌 Module 5 – SnowSQL & Storage Optimization
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Stage Types & Data Loading from Local Machines
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Micropartitions, Caching, and Storage Integration
📌 Module 6 – Real-Time Data with Snowpipe
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External Tables & Zero Copy Cloning
📌 Module 7 – Data Modeling & ETL
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Slowly Changing Dimensions (SCD 1 & 2)
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Streams for Change Tracking
📌 Module 8 – Semi-Structured Data Handling
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Loading JSON & Parquet Data
📌 Module 9 – Advanced Features
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Views & Materialized Views
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Resource Monitors & External Functions
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Data Sharing & Reader Accounts
📌 Module 10 – Security & Governance
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Dynamic Data Masking & Row-Level Security
📌 Module 11 – Cloud Integrations
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Azure Blob Storage & ADF Integration
📌 Module 12 – Performance Optimization
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Cost Management & Pricing Deep Dive
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Query Performance Tuning & Procedures
📌 Module 13 – New Snowflake Features
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Dynamic Tables & Iceberg Tables
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Email Notifications
📌 Module 14 – Final Project
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End-to-End Snowflake Implementation
👤 Who Is This Course For?
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Data Engineers & BI Developers
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Cloud Engineers & Architects
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Analysts working with large-scale datasets
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Anyone looking to master Snowflake for enterprise data solutions
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