Apache Beam | Google Data Flow (Python)

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

Ratings 4.47 / 5.00
Apache Beam | Google Data Flow (Python)

What You Will Learn!

  • Apache Beam

Description

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 in Streaming

  • Handling Late elements

  • Using Triggers

  • Google Cloud Dataflow

  • Beam SQL / Beam SQL on 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.


Who Should Attend!

  • Big data learners

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Tags

  • Big Data
  • Apache Beam

Subscribers

4950

Lectures

37

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