Snowflake - Build & Architect Data pipelines using AWS

🌨 Unlock the Full Potential of Your Data with Snowflake & AWS

Course Update (🔥 February 2023 Update):

We've supercharged this course! You'll now dive into the Snowpark API, explore UDFs, Stored Procedures for ETL, and even Machine Learning use-case deployments. This course is your golden ticket to conquering SnowPro Advanced Certifications! 🏆

Dive into Data Engineering with Snowflake & AWS Cloud

Snowflake has been making waves as a comprehensive data ecosystem, and it's the perfect time to jump in and master this powerful tool. With its unparalleled scalability and efficiency, especially when handling large datasets, Snowflake is an indispensable skill for any data professional. This course is designed to get you up to speed with Snowflake's core features and guide you through deploying Python/pyspark jobs in AWS Glue and Airflow that seamlessly integrate with Snowflake. 🌩️

Who Should Take This Course? This course is tailored for individuals with a foundational understanding of cloud services, including:

• Data Scientists / Analysts
• Data Engineers / Software Developers
• SQL Programmers or DBAs
• Aspiring Data Analysts and Scientists who are on their journey to learn SQL and Python 🧠

Course Curriculum Overview:

✅ What is Snowflake? - Understanding the fundamentals. ✅ Practical Snowflake Features: - A hands-on approach to mastering key aspects. ✅ Python/Spark Jobs in AWS Glue: - Learn how to transform data like a pro. ✅ Real Time Streaming with Kafka and Snowflake: - Get real-time insights. ✅ Interacting with External Functions: - Expand your data manipulation capabilities. ✅ Security Features in Snowflake: - Secure your data with confidence.

Prerequisites for Success:

To get the most out of this course, you should have:

• A grasp on SQL or querying basics.
• Basic scripting knowledge in Python (or another language).
• A willingness to learn and a drive for success.
• Familiarity with AWS cloud fundamentals. 🚀

Important Note: To fully engage with the sections involving Python and PySpark, you'll need an active AWS account. For other modules, a free trial Snowflake account will be sufficient to learn and follow along.

Tips for Maximizing Your Learning Experience:

🔝 Watch Videos at 1.2X Speed: - Save time while keeping up with the pace. 📚 Read Reference Links & Documentation: - Dive deeper into Snowflake's features and functionalities.

With this comprehensive course, you'll be well-equipped to architect robust data pipelines using Snowflake and AWS cloud services. Enhance your career with cutting-edge skills in data engineering and architecting. 🌟

Join us on this journey to become a certified data professional! Sign up now and transform your approach to data processing and analysis.