Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
Data Engineering with complete Hands on course for Apache Beam | Google Data Flow to build Big Data Pipelines
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.
Course Content
- 9 section(s)
- 37 lecture(s)
- Section 1 Apache Beam Introduction
- Section 2 Apache Beam Transformations
- Section 3 Pardo with Side Inputs/Outputs
- Section 4 Streaming with Apache Beam
- Section 5 Windows in Apache Beam
- Section 6 Handling Late Elements
- Section 7 Using Triggers
- Section 8 Google Cloud Dataflow
- Section 9 Beam SQL
What You’ll Learn
- Apache Beam
Skills covered in this course
Reviews
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MMurali Karlapudi
Great course! The instructor explains Apache Beam concepts—batch and stream processing, transformations, windowing, late events, Beam SQL, and Google Cloud Dataflow—very clearly with Good Python examples. Her communication is excellent, and the content is short, focused, and easy to understand. Perfect for getting a quick, practical foundation.
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JJoseph Schwartz
Great course. Thank you!
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AANJANEYA REDDY VENNA
Need more clarity on dataflow coding samples covering all the features
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JJames White
This class has been very beneficial to understanding Apache Beam and is a great companion piece to understanding GCP Dataflow. Very detailed breakdown of the key methods in Python and worth review and doing the hands on lessons.