Language: English (US)

Advanced Course On Cloud Dataflow and Apache Beam - Architecture, Transformations, Schema, Beam SQL, Dataflow Templates

https://www.udemy.com/course/master-google-cloud-dataflow-and-apache-beam/

This is an advanced course on Apache Beam and Google Cloud Dataflow. This course is suitable for students of All levels. Basic Java knowledge is sufficient to start this course. Every concept is provided with practice sessions which will provide confidence to work on such projects where these technologies are used. Following are some of the important sections in this training,

• Apache Beam overview

• Working with beam pipelines

• Pipeline options

• User Defined Functions using ParDo

• GroupByKey

• CoGroupByKey

• Aggregate data using Combine function

• Merge Data using Flatten

• Generate Multiple Dataset using MultiOutput

• Use Side Inputs

• Schema in Apache beam - Filter, Group and Join the data using Schema

• Stateful pipelines using State and Timer

• Add Custom Metrics to your pipeline

• Beam SQL - use simple SQLs to build beam pipelines

• Splittable DoFn

• Windowing in Apache Beam - Fixed time, Sliding , Global, Session

• Watermark and Triggers

• Learn basics of Cloud computing platforms

• Cloud Dataflow  - Know about the Managed Apache Beam runner from Google Cloud Platform

• Run your pipeline in Cloud Dataflow

• How to use built in Templates - introducing the wide variety of built-in templates provided by Google Cloud Dataflow

• Custom templates using Classic and Flex mode - Build custom templates using the beam pipelines created in the beam practice

Master_Google_Cloud_Dataflow_and_Apache_Beam.part1.rar

Master_Google_Cloud_Dataflow_and_Apache_Beam.part2.rar

Master_Google_Cloud_Dataflow_and_Apache_Beam.part3.rar