| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction to Snowflake | |||
| 1. What Snowflake Is & AI Data Cloud Overview.mp4 | 59.1 MB | ||
| 2 - Getting Started with Snowflake | |||
| 10. Managing Sessions, Roles & Access.mp4 | 38.4 MB | ||
| 3 - Snowflake Compute & Virtual Warehouses | |||
| 11. Virtual Warehouses Explained.mp4 | 213.4 MB | ||
| 12. Compute Clusters & Architecture.mp4 | 52.5 MB | ||
| 4 - Working with Data in Snowflake | |||
| 13. Data Loading & Ingestion Techniques.mp4 | 78 MB | ||
| 14. Table Creation & Data Modeling Basics.mp4 | 34.7 MB | ||
| 15. Structured vs Semi-Structured Data.mp4 | 24 MB | ||
| 5 - Snowflake AI & Cortex Fundamentals | |||
| 16. Introduction to Cortex AI.mp4 | 26.5 MB | ||
| 17. Using Cortex Code for SQL & Automation.mp4 | 46.2 MB | ||
| 18. AI Functions (Summarization, Sentiment, Translation).mp4 | 16.3 MB | ||
| 19. AI Agents & Workflow Automation.mp4 | 42.7 MB | ||
| 20. AI Usage Parameters & Credit Consumption.mp4 | 39.2 MB | ||
| 6 - AI-Powered Data Workflows | |||
| 21. Using AI to Create Databases & Schemas.mp4 | 21.3 MB | ||
| 22. AI for Data Analysis Assistance.mp4 | 19.6 MB | ||
| 23. AI for Data Cleaning & Preparation.mp4 | 28.2 MB | ||
| 24. Building End-to-End AI Pipelines.mp4 | 24.5 MB | ||
| 25. AI-Based Data Validation Techniques.mp4 | 30.2 MB | ||
| 7 - SQL & Analytics in Snowflake | |||
| 26. Writing Analytical SQL Queries.mp4 | 18.6 MB | ||
| 27. Window Functions & Aggregations.mp4 | 27.4 MB | ||
| 28. Query Optimization & Performance Tuning.mp4 | 29.6 MB | ||
| 29. Query History, Monitoring & Debugging.mp4 | 24 MB | ||
| 8 - Security, Governance & Cost Optimization | |||
| 30. Role-Based Access Control (RBAC).mp4 | 22.2 MB | ||
| 31. Data Security, Encryption & Compliance.mp4 | 16.6 MB | ||
| 32. Governance (Horizon, Policies & Monitoring).mp4 | 28.7 MB | ||
| 33. Governance & Usage Tracking.mp4 | 35.5 MB | ||
| 34. Scaling for Large Workloads.mp4 | 29.5 MB | ||
| 9 - Advanced Features, Use Cases & Next Steps | |||
| 35. Advanced Features (Time Travel, Cloning, Micro-Partitions).mp4 | 20 MB | ||
| 36. Real-World Industry Use Cases.mp4 | 62.5 MB | ||
| 37. Common Design Patterns in Snowflake.mp4 | 15.9 MB | ||
| 38. Common Mistakes & Best Practices.mp4 | 15.7 MB | ||
| 6. Creating a Snowflake Account & Free Trial.mp4 | 109.4 MB | ||
| 7. Understanding the Web Interface (Snowsight).mp4 | 54.2 MB | ||
| 8. Navigating Databases, Schemas & Tables.mp4 | 53.2 MB | ||
| 9. Running Your First SQL Queries.mp4 | 60.3 MB | ||
| 2. Traditional vs Modern Data Warehousing.mp4 | 106.3 MB | ||
| 3. Snowflake Architecture Explained Simply.mp4 | 68.1 MB | ||
| 4. Snowflake Ecosystem & Integrations.mp4 | 62.3 MB | ||
| 5. Industry Use Cases & Real-World Applications.mp4 | 86.7 MB |
Snowflake Masterclass 2026: Modern Data Cloud & Cortex AI
https://WebToolTip.com
Published 5/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 16m | Size: 1.7 GB
Master Snowflake architecture, SQL analytics, and build AI-powered data workflows using Snowflake Cortex.
What you'll learn
Architect and manage scalable cloud data environments using Snowflake’s unique multi-cluster shared data architecture for maximum performance and efficiency.
Configure and optimize Virtual Warehouses to handle diverse workloads while implementing auto-scaling and cost-saving suspension policies.
Implement advanced AI workflows using Snowflake Cortex to perform sentiment analysis, text summarization, and automated data cleaning directly via SQL.
Master data ingestion techniques for both structured and semi-structured data (JSON, Parquet) to build robust and flexible modern data pipelines.
Apply enterprise-grade security and governance using Role-Based Access Control (RBAC) and Snowflake Horizon to ensure data compliance and privacy.
Utilize "Time Travel" and "Zero-Copy Cloning" features to recover data instantly and create development environments without increasing storage costs.
Execute complex analytical SQL queries using window functions and CTEs to extract high-value business insights from massive datasets.
Perform FinOps and cost optimization by monitoring credit consumption and query history to maintain budget predictability in an enterprise setting.
Requirements
Basic knowledge of SQL (Select, From, Where) is helpful but not mandatory.
A computer with a web browser and internet access.
No prior cloud computing experience required—we start from zero!
A desire to learn how AI is transforming the world of big data.
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