Enroll Course: https://www.coursera.org/learn/batch-data-pipelines-gcp
In today’s data-driven world, building efficient and scalable data pipelines is crucial for leveraging big data. The Coursera course ‘Building Batch Data Pipelines on Google Cloud’ offers an in-depth exploration of various paradigms such as EL, ELT, and ETL, guiding learners on when and how to apply each method for batch data processing. The course stands out by providing practical, hands-on experience with cutting-edge Google Cloud technologies like BigQuery, Dataproc, Data Fusion, and Dataflow.
One of the key strengths of this course is its detailed modules that cover executing Spark on Dataproc, managing data pipelines with Cloud Data Fusion and Cloud Composer, and utilizing serverless processing with Dataflow. Whether you’re a beginner or an experienced data engineer, you’ll find valuable insights and skills that can be immediately applied.
The course is well-structured, starting from foundational concepts and gradually moving to more complex implementations, making it suitable for learners at different levels. The inclusion of real-world examples and hands-on exercises enhances understanding and retention.
I highly recommend this course to anyone interested in building robust, scalable data pipelines on Google Cloud. It’s an excellent investment for data professionals seeking to deepen their cloud expertise and streamline their data workflows.
Enroll Course: https://www.coursera.org/learn/batch-data-pipelines-gcp