Data Engineering with Google BigQuery & Google Cloud
Why take this course?
🚀 Data Engineering with Google BigQuery & Google Cloud 🌟
Course Headline: Building data pipelines with BigQuery, Data Studio, and other Google Cloud tools. Learn basic BigQuery SQL and techniques to enhance your data engineering skills!
📊 Introduction to Data Warehousing with BigQuery 🔍 BigQuery is the heart of data warehousing in the cloud, offering a powerful solution for storing and querying vast amounts of data without the need for infrastructure management. It's perfect for analyzing large datasets, gaining insights, and making informed business decisions. With its support for standard SQL and intuitive interface, BigQuery is an excellent choice for those with experience in relational databases like Oracle, PostgreSQL, MySQL, or Microsoft SQL Server.
Course Overview: This comprehensive course is designed to take you through the entire process of data engineering within the Google Cloud ecosystem. You'll learn how to create and manage data pipelines, handle data ingestion from various sources, cleanse your data for accuracy, and visualize your findings with powerful tools like Google Sheets and Data Studio.
- 🧐 Understanding Data Warehouses & BigQuery's Role
- 🛠️ Building a Simple Data Pipeline
- 🚀 Data Ingestion Techniques
- 📊 Effective Data Visualization with Google Sheets & Data Studio
🌍 Who is this course for? This course targets data engineers, analysts, and anyone with a basic understanding of SQL who wants to leverage the power of Google BigQuery for their data engineering needs. It's an advanced step beyond learning SQL fundamentals, focusing on practical applications in a real-world environment.
- ✅ Basic Technical Knowledge of SQL
- ✗ Not a Basic SQL Course - We assume you already know the basics!
🔍 Advanced SQL for BigQuery 🖥️ While this course is not a primer on SQL, it will introduce you to modern SQL syntax that is crucial in BigQuery. You'll learn about specialized functions and techniques that are tailored for the cloud-native environment. The course will also cover how to pull data from multiple sources, making you a well-rounded data engineer.
Key Takeaways:
- 📈 Learn to work with BigQuery's SQL dialect and its unique functions.
- 🔄 Understand how to scale data processing without worrying about infrastructure.
- 🧩 Discover the tools and methods for efficient data ingestion into BigQuery.
- 📊 Master data visualization using Google Cloud products.
Course Highlights:
- ✅ Hands-on Practice with Google's Sample Databases
- ✅ Real-World Data Pipeline Examples
- ✅ No Infrastructure Management Required
🎥 Preview the Course with a Demo Video! 🎞️ Get a glimpse of the technologies and SQL capabilities you'll be working with in this course by watching our preview video titled "Technology in This Course." It will outline the SQL keywords that are beyond the scope of this program, ensuring you focus on what matters most.
Enroll Now to Embark on Your Data Engineering Journey with Google BigQuery & Google Cloud! 🚀💡
Loading charts...