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Published 7/2024 Created by Jiji Alex MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 65 Lectures ( 5h 59m ) | Size: 2.76 GB Advanced Course On Cloud Dataflow and Apache Beam - Architecture, Transformations, Schema, Beam SQL, Dataflow Templates What you'll learn: Apache Beam Architecture All the Features of Apache Beam Detailed study of Cloud Dataflow Practice sessions which demonstrates each of the topics All the materials including Java project bundles for quick practice Requirements: Basic knowledge of Java to learn Apache Beam and understanding of Google Cloud Platform for better understanding of Cloud Dataflow Description: 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 overviewWorking with beam pipelinesPipeline optionsUser Defined Functions using ParDoGroupByKeyCoGroupByKeyAggregate data using Combine functionMerge Data using FlattenGenerate Multiple Dataset using MultiOutputUse Side InputsSchema in Apache beam - Filter, Group and Join the data using SchemaStateful pipelines using State and TimerAdd Custom Metrics to your pipelineBeam SQL - use simple SQLs to build beam pipelinesSplittable DoFnWindowing in Apache Beam - Fixed time, Sliding , Global, SessionWatermark and TriggersLearn basics of Cloud computing platformsCloud Dataflow  - Know about the Managed Apache Beam runner from Google Cloud PlatformRun your pipeline in Cloud DataflowHow to use built in Templates - introducing the wide variety of built-in templates provided by Google Cloud DataflowCustom templates using Classic and Flex mode - Build custom templates using the beam pipelines created in the beam practice Who this course is for: This is very useful for people who are new to Apache Beam and Cloud Dataflow and also to those who are working on these technologies Homepage