Snowflake Data Engineering

Übersicht

Are you looking to build a career in data engineering? Or want to get hands-on experience with Snowflake for your next project?

Whether you’re a student, early career professional, or an experienced data professional, this program will enable you to acquire the practical skills you’ll need to be competitive in the job market to land your next job, or to grow your existing career as a data professional. Created and delivered by Snowflake’s own developer advocates, this program emphasizes hands-on learning with lots of in-product exercises to give you the confidence you’ll need to tackle real-life, on-the-job projects.

You will learn:

How to use Snowflake to ingest data at scale How to perform data transformations with SQL and Python How to deliver data products to visualize insights How to orchestrate data pipelines How to implement DevOps best practices for data pipelines How to implement the observability of data pipelines

Lehrplan

• Introduction to Snowflake
Overview of Snowflake Architecture
Cloud Data Warehousing Concepts
Setting Up Your Snowflake Environment
• Ingesting Data at Scale
Data Loading Techniques
Using Snowpipe for Continuous Data Ingestion
Handling Semi-Structured and Structured Data
• Data Transformations with SQL and Python
SQL Transformations in Snowflake
Integrating Python for Data Manipulation
Utilizing Snowflake's Ecosystem for Advanced Transformations
• Delivering Data Products
Data Warehousing Best Practices
Creating Views and Tables for Data Products
Building Dashboards for Data Visualization
• Orchestrating Data Pipelines
Introduction to Data Pipelines
Utilizing Snowflake Tasks and Streams
Scheduling and Automating Workflows
• Implementing DevOps Best Practices
Version Control and CI/CD for Data Pipelines
Managing Environments and Deployments
Ensuring Data Quality with Testing Methods
• Observability of Data Pipelines
Monitoring and Logging in Snowflake
Implementing Alerts and Notifications
Performance Optimization and Tuning
• Hands-On Labs and Projects
Real-world Scenarios and Challenges
Collaborative Projects
Capstone Project: Building a Comprehensive Data Engineering Solution
• Course Wrap-Up
Review Key Concepts
Future Trends in Data Engineering and Snowflake
Career Pathways and Resources

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Unterrichtet von

Snowflake Northstar

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Fachgebiete

Business