Master Snowflake for Data Engineering | Build Cloud-Ready Skills with AWS, Azure & DBT | Datavizon скачать в хорошем качестве

Master Snowflake for Data Engineering | Build Cloud-Ready Skills with AWS, Azure & DBT | Datavizon

🚀 Want to master Snowflake and become a top-tier Data Engineer in 2025? This FREE full-length session by KSR Datavizon gives you a deep dive into Snowflake, its real-world use cases, and how it compares with Redshift, Synapse, BigQuery, and Databricks. Learn how to build scalable cloud data solutions using Snowflake, DBT, Matillion, Spark, Apache Iceberg, and more. Led by an expert with 8+ years of hands-on experience, this course walks you through everything from traditional vs cloud systems to modern data lakehouse architectures and cloud-native integrations with AWS and Azure. 📌 What You'll Learn: 👉Traditional Data Systems vs Cloud-based Data Warehousing 👉Snowflake Auto-Scaling & Cost Optimization 👉IaaS vs PaaS vs SaaS – Simplified 👉Lakehouse & Medallion Architectures Explained 👉Apache Iceberg, Spark ETL, and Snowpark Overview 👉Real-time Project Walkthrough 👉Tools Comparison: Snowflake vs Redshift vs Synapse vs Databricks 👉DBT, Matillion, and Informatica Workflows 👉Career roadmap for aspiring Data Engineers 🎓 Why KSR Datavizon? 👉Free 1-Week Demo Classes 👉Job-ready curriculum for cloud data careers 👉Learn tools like Snowflake, Power BI, Azure, AWS, DBT & more 👉Mentorship from working professionals 👉Tailored for both beginners and experienced techies 🌐 Enroll Now at: www.ksrdatavision.com 📞 Connect with Course Advisors: 8951796123 / 9353107498 / 9916961234 🔥 Don’t forget to LIKE, COMMENT & SUBSCRIBE for more high-impact tech tutorials and career-building content! #Snowflake #DataEngineering #CloudComputing #DBT #ApacheIceberg #MedallionArchitecture #KSRDatavizon #PowerBI #AWS #Azure #ModernDataStack #AI #DataWarehouse #SparkETL #GenerativeAI #BigData #LearnSnowflake #TechCareers #FreeDemoClass #FullStackDataEngineer CHAPTERS: 00:00 - Introduction 03:11 - Traditional Data System vs Snowflake 10:00 - Cloud vs Traditional Data Systems 12:40 - Importance of Snowflake 15:34 - Snowflake Solutions for Data Warehousing 22:42 - Snowflake Auto-Scaling for Cost Efficiency 29:54 - Understanding IaaS, PaaS, and SaaS 30:10 - IaaS Responsibilities Explained 32:13 - PaaS Responsibilities Explained 33:44 - SaaS Responsibilities Explained 39:40 - Data Warehouse, Data Lake, and Ecosystem Overview 44:14 - Introduction to Lakehouse Architecture 50:14 - Key Features of Snowflake 54:30 - Cloud Agnostic Solutions 56:43 - Optimized Storage in Snowflake 1:02:33 - Flexibility with Any Structure 1:09:14 - Snowpark Overview 1:10:48 - Introduction to Apache Iceberg 1:12:27 - Typical Data Engineering Project Overview 1:15:44 - Understanding Medallion Architecture 1:26:30 - Using Spark with ETL 1:27:34 - Medallion Architecture Benefits 1:29:24 - Snowflake vs Synapse, Redshift, and BigQuery 1:35:10 - Snowflake vs Databricks Comparison 1:43:10 - Overview of Snowflake Architecture 1:43:26 - Snowflake Regions Explained 1:44:08 - Snowflake vs Databricks Analysis 1:45:13 - Course Syllabus Overview 1:47:34 - Learning Objectives in Snowflake 1:52:00 - Project Overview 1:52:38 - Introduction to DBT 1:53:28 - Data Transformation Techniques 1:54:30 - Matillion vs Informatica Comparison 1:56:07 - End of the Session