Apache Beam | Google Data Flow (Python) | Hands on course

Apache Beam | Google Data Flow (Python) | Hands on course, available at $69.99, has an average rating of 4.48, with 37 lectures, based on 793 reviews, and has 5142 subscribers.

You will learn about Apache Beam This course is ideal for individuals who are Big data learners It is particularly useful for Big data learners.

Enroll now: Apache Beam | Google Data Flow (Python) | Hands on course

Summary

Title: Apache Beam | Google Data Flow (Python) | Hands on course

Price: $69.99

Average Rating: 4.48

Number of Lectures: 37

Number of Published Lectures: 37

Number of Curriculum Items: 37

Number of Published Curriculum Objects: 37

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

Apache Beam

Who Should Attend

Big data learners

Target Audiences

Big data learners

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 Curriculum

Chapter 1: Apache Beam Introduction

Lecture 1: Intro

Lecture 2: Apache Beam Intro

Lecture 3: Architecture

Lecture 4: Apache Beam Flow

Lecture 5: Pcollection

Lecture 6: Installation

Lecture 7: Getting Started

Lecture 8: Learn BigData

Lecture 9: Enroll into Big Data Course

Chapter 2: Apache Beam Transformations

Lecture 1: Read Input

Lecture 2: Write Output

Lecture 3: Map/FlatMap

Lecture 4: CoGroupByKey

Lecture 5: Partition

Lecture 6: Flatten

Lecture 7: Composite Transformation

Chapter 3: Pardo with Side Inputs/Outputs

Lecture 1: Pardo Transformation

Lecture 2: Side Inputs

Lecture 3: Side Outputs

Chapter 4: Streaming with Apache Beam

Lecture 1: Streaming intro

Lecture 2: Google PubSub Intro

Lecture 3: Google PubSub Example

Chapter 5: Windows in Apache Beam

Lecture 1: Windows Intro

Lecture 2: Time Notions

Lecture 3: Tumbling/Sliding WIndows

Lecture 4: Tumbling Code

Lecture 5: Sliding Code

Lecture 6: Session Windows

Chapter 6: Handling Late Elements

Lecture 1: Allow Lateness

Chapter 7: Using Triggers

Lecture 1: Triggers

Lecture 2: Composite Triggers

Lecture 3: Composition with Default Trigger

Chapter 8: Google Cloud Dataflow

Lecture 1: Dataflow Intro

Lecture 2: Google Dataflow Templates

Lecture 3: Google Dataflow Notebooks

Chapter 9: Beam SQL

Lecture 1: Beam SQL Intro

Lecture 2: Beam SQL on Google Cloud

Instructors

Navdeep Kaur
Premium Instructor

Rating Distribution

1 stars: 6 votes
2 stars: 8 votes
3 stars: 93 votes
4 stars: 303 votes
5 stars: 383 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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