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Udemy

Apache Beam | Google Data Flow (Python)

via Udemy

Overview

Complete Hands on Apache Beam | Batch & Streaming pipelines | Beam SQL & Google Cloud Dataflow.

What you'll learn:
  • Apache Beam

Apache Beam is future of Big Data technology and is used to build big data pipelines. This course is designed for beginners who want to learn how to use Apache Beam using python language . It also covers google cloud dataflow which is hottest way to build big data pipelines nowadays using Google cloud.


This course consist of various hands on to get you comfortable with various topics in Apache Beam.This course will introduce various topics:


  • Architecture

  • Transformations

  • Side Inputs/Outputs

  • Streaming with Google PubSub

  • Windows inStreaming

  • Handling Late elements

  • Using Triggers

  • Google Cloud Dataflow

  • Beam SQL / Beam SQLon GCP

By the end of this course, you will find yourself ready to start using Apache Beam in real work environment.


What make this course unique - it's concise that's in only 3 hours you will be able to complete it, covers all relevant topics and slides and presentations are really very exciting and easy to understand.


Why Apache beam is future of Big Data?

1. It runs on top of popular big data engine like spark, flink, Google data flow.

2. It is used by big giant like Google.

3. It solves the industry biggest problem of migration and unification from one processing engine to another.


So if you want to learn future technology , then you are right place.


Taught by

Navdeep Kaur

Reviews

4.5 rating at Udemy based on 562 ratings

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