Data Engineering with Google Datafusion and Big Query (CDAP)

🌟 Your First Steps in Data Engineering with Google Datafusion (CDAP) 🌟

Course Title: Data Engineering with Google Datafusion and Big Query (CDAP)

Course Instructor: Cassio Alessandro de Bolba

🚀 Course Headline: Dive into the World of Data Engineering with Google Datafusion, a Low-Code Powerhouse! 🚀

Introduction to Google Datafusion: Are you ready to embark on an exciting journey into the realm of Data Engineering? With Google Datafusion, a low-code tool powered by the open-source platform Community Data Architecture Platform (CDAP), you'll be equipped with a robust set of skills to manage and process your data efficiently. 🛠️✨

Why Google Datafusion?

• Ease of Use: Craft complex data pipelines effortlessly with a visual interface that minimizes coding requirements, allowing you to focus on what truly matters – the logic of your business!
• Scalability: Leverage the power of Google Cloud to handle massive data loads with ease, scaling your processing capabilities as needed. 📈🚀
• Ecosystem Integration: Connect and orchestrate data pipelines across various Google Cloud services, including BigQuery, Cloud Storage, Pub/Sub, and more, for a unified approach to data management. 🤝💾

Course Highlights:

• Deep Dive into Google Datafusion: Explore the inner workings of this powerful tool and understand how it fits into your data engineering strategy.
• Benefits Unveiled: Discover the advantages Google Datafusion brings to your projects, from ease of use to scalability.
• Hands-On Learning: From setting up a Datafusion instance to mastering data ingestion and transformation using Google Cloud Storage and BigQuery.

What You'll Master in This Course:

1. Understanding the Platform: Learn how Google Datafusion operates under the hood and its role in modern data engineering.
2. Benefits of Google Datafusion: Uncover the myriad ways this tool can simplify your data workflows.
3. Creating a Datafusion Instance: Step-by-step guidance on launching your own instance for real-world applications.
4. Google Cloud Storage Integration: Utilize Google Cloud Storage to feed your data pipelines with the right input.
5. BigQuery as a Data Lake: Dive into the Bronze and Silver layers of BigQuery, transforming it into a powerful Data Lake.
6. BigQuery Advanced Features: Get hands-on experience with partitioned tables and the MERGE command to optimize your queries.
7. Ingesting Data from Multiple Sources: Learn how to integrate data from various sources for a comprehensive view of your data landscape.
8. Data Transformation with Wrangle: Employ Google's low-code solution for transforming data without extensive coding.
9. Creating ETL DAGs: Craft efficient Data Engineering pipelines with directed acyclic graphs (DAGs) for Extract, Transform, Load processes and manage dependencies.
10. Scheduling and Inter-DAG Dependencies: Automate your data workflows by scheduling tasks and understanding inter-DAG dependencies.

Join Cassio Alessandro de Bolba in this comprehensive course to unlock the potential of Data Engineering with Google Datafusion. Whether you're new to the field or looking to enhance your existing skills, this course will equip you with the knowledge and hands-on experience to excel in data management and integration using one of the most powerful platforms available today. 🎓🚀

Enroll now and take the first step towards becoming a Data Engineering expert! 🎉