Learn Apache Beam and dataflow concepts used in Google Cloud Platform for real-world data engineering
Sub Category
- IT Certifications
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Objectives
- Master Apache Beam basics: Understand concepts such as pipeline, PCollections, PTransforms, and batch/stream data processing.
- Apply essential Beam transforms, which include Map, FlatMap, Filter, ParDo, GroupByKey, CoGroupByKey, Flatten, Partition, and Combine.
- Construct sophisticated data pipelines by using composite transforms, side inputs, and side outputs.
- Run pipelines on Google Cloud Dataflow: Execute your Beam pipeline on Dataflow, monitor execution, and optimize your cloud resource utilization.
- Integrate Apache Flink with Beam: Process streaming data & real-time events for high performance analytics
- Data aggregation and analytics: utilize Max, Min, Sample, Sum, Top, etc., to combine and process the data.
- Debug, test, and optimize pipelines: ensure performance, reliability, and data quality in production-ready workflows.
- Implement real-world projects step by step to get hands-on experience building end-to-end Beam pipelines with real datasets.
- GCP Data Engineer skills: develop skills for a career in cloud-based data engineering, with a portfolio of production-ready pipelines.
- Work with multiple programming environments: Utilize Apache Beam in Java and Python programming, including serialization, type safety, and project configuration
Pre Requisites
- Basic Python Knowledge
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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