In this advanced quest, you will dive deep into the world of Extract, Transform, Load (ETL) processes, focusing on scalability and efficiency. You will learn how to design and implement ETL pipelines that can handle large volumes of data from various sources, ensuring data integrity and optimal performance. The quest will cover best practices for data extraction, transformation techniques, and loading strategies into data warehouses or lakes. You will also explore tools and technologies that facilitate the creation of scalable ETL solutions, including orchestration tools, data processing frameworks, and cloud-based services. By the end of this quest, you will have hands-on experience in creating a fully functional ETL pipeline capable of processing complex datasets in real-time.
