What you'll learn

Apache Beam

ETL

Python

Google Cloud

DataFlow

Google Cloud Storage

Description

In a summary, we want to cover the following topics:

1. Understand your inner workings

2. What are your benefits

3. Explain how to use on your local machine without installation via Google Colab for development

4. Its main functions

5. Configure Apache Beam python SDK locallyvice

6. How to deploy this resource on Google Dataflow to a Batch pipeline

This course is dynamic, you will be receiving updates whenever possible.

It is important to remember that this course does not teach Python, but uses it. So, get comfortable with knowing Python basics, defining a function, creating objects and data types.

Also, if you are interested in learning section 4, which consists of deploying a pipeline on Google Dataflow, you will need to have a free counter in GCP. It's a simple process, but it requires a credit card!

___________________________________________________________________________________________________________

Requirements:

· Basic knowledge of Python

· Have Python 3.7 or greater installed locally (from section 4)

· Free account at GCP (from section 4)

Schedule:

· Section 2 - Concepts

· Section 3 - Main Functions

· Section 4 - Apache Beam on Google Dataflow

Who this course is for:

Data Eeers

Data Analysts

Business Intelligence Professionals

Open Source Fans

ETL Eeers




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