Who is this course “Serverless Data Processing with Dataflow” designed for?
This course is designed for experienced data practitioners who want to take their Dataflow skills to the next level and build robust, scalable data processing applications. You should have familiarity with basic data concepts and ideally some prior data processing experience.
What specific skills will I learn in the course Serverless Data Processing with Dataflow?
You'll gain expertise in building and deploying efficient, secure, and cost-effective Dataflow pipelines. This includes understanding Apache Beam and Dataflow's relationship, leveraging Beam's portability, building batch and streaming pipelines, optimizing resource allocation, implementing security best practices, choosing optimal I/O, simplifying code with schemas, developing pipelines with SQL and DataFrames, and mastering monitoring, troubleshooting, testing, and CI/CD.
Is this course hands-on?
Definitely! 50-60% of the course is dedicated to hands-on labs to ensure you actively apply your learning and develop solid practical skills.
What teaching methods are used in this course titled Serverless Data Processing with Dataflow?
The course utilizes a blended learning approach with interactive virtual and face-to-face sessions (depending on your preference) to promote problem-based learning. Additionally, you'll benefit from GCP-certified instructor-led training and mentoring for competency-based learning.
How are real-world scenarios addressed?
The course incorporates well-structured use cases that simulate real-world challenges in data processing with Google Cloud Platform, giving you practical experience and confidence in applying your skills.
Is there ongoing support available?
Absolutely! You'll have access to an integrated learning management system (LMS) and ExamReady platform for additional resources and support. You can also rely on expert-designed teaching assistance throughout the course.
Is this course officially recognized?
Yes! We are an official Google Cloud Platform Training Partner, and our curriculum is aligned with industry standards, ensuring you receive relevant and up-to-date training.
What are the course prerequisites?
While prior data processing experience is helpful, the foundation course prerequisites include basic data processing concepts like data ingestion, transformations, and data storage.
How can I enroll in the course?
Please visit our website or contact us for enrollment details. We offer flexible options to suit your needs and learning preferences.