Udemy – Master Google Cloud Dataflow and Apache Beam 2024-7

What you will learn in this course:

• Apache Beam architecture
• All features of Apache Beam
• Detailed study of Cloud Dataflow
• Practical sessions that demonstrate each of the topics
• Apache Beam Overview: In this section, you will get to know Apache Beam architecture and overview.
• Working with Beam Pipelines: You will learn how to create and manage Beam pipelines.
• Pipeline Options: You’ll learn how to set up and customize pipelines.
• User-defined functions using ParDo: Using these functions, you can perform your desired operations on the data.
• GroupByKey and CoGroupByKey: These functions help you group data by key.
• Collecting data using the Combine function: With this function, you can collect and combine data.
• Merge data using Flatten: With this function you can merge multiple datasets.
• Create multiple datasets using MultiOutput: You can use a pipeline to create multiple output datasets.
• Using side inputs: You will learn how to use side inputs in your pipelines.
• Schema in Apache Beam: Using Schema you can filter, group and combine your data.
• Stateful Pipelines Using State and Timer: You will learn how to create stateful pipelines.
• Add custom metrics to the pipeline: You can add custom metrics to the pipeline to better analyze its performance.
• Beam SQL: Using simple SQL, you can create Beam pipelines.
• Splittable DoFn: You will learn how to create splittable DoFn.
• Windowing in Apache Beam: Using windowing, you can group data by time and other criteria.
• Watermark and Triggers: You will learn what Watermark and Triggers are and how they work.
• Getting to know the basics of cloud computing platforms: You will learn the basic concepts of cloud computing.
• Cloud Dataflow: You will be introduced to this Apache Beam managed service provided by Google Cloud Platform.
• Running Pipelines in Cloud Dataflow: You will learn how to run your own pipelines in Cloud Dataflow.
• Using Predefined Templates: You will learn about the different types of predefined templates provided by Google Cloud Dataflow.
• Create custom templates using Classic and Flex mode: You’ll learn how to create your own custom templates.
• All training materials including Java project packages for quick practice

This course is suitable for people who:

• Interested in Apache Beam and Cloud Dataflow and want to learn about them.
• They are currently working on projects that use these technologies.

Installation guide

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