Data Engineering with Google Dataflow and Apache Beam

person icon Cassio Alessandro DeBolba

Data Engineering with Google Dataflow and Apache Beam

First steps to Extract, Transform and Load data using Apache Beam and Deploy Pipelines on Google Dataflow

updated on icon Updated on Sep, 2023

language icon Language - English

person icon Cassio Alessandro DeBolba

architecture icon Development,Apache Beam


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Course Description

This course wants to introduce you to the Apache Foundation's newest data pipeline development framework: The Apache Beam, and how this feature is becoming popular in partnership with Google Dataflow. 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!



· Section 2 – Concepts

· Section 3 – Main Functions

· Section 4 – Apache Beam on Google Dataflow


What will you learn in this course:

  • Apache Beam
  • AETL
  • Python
  • Google Cloud
  • DataFlow
  • Google Cloud Storage


What are the prerequisites for this course?

  • Basic Python
  • Python running on machine and above 3.7
  • Free GCP account
Data Engineering with Google Dataflow and Apache Beam


Check out the detailed breakdown of what’s inside the course

Apache Beam Concepts
3 Lectures
  • play icon 2.1 What is Apache Beam ? 02:23 02:23
  • play icon 2.2 Apache Beam Architecture Overview 03:46 03:46
  • play icon 2.3 Apache Beam Pipeline Flow 06:44 06:44
Apache Beam Main Functions
10 Lectures
Batch Dataflow Pipelines
8 Lectures

Instructor Details

Cassio Alessandro deBolba

Cassio Alessandro deBolba

I'm self taught Senior Data Engineer and content creator. Migrated from a machine operator at my 30's to the Data IT Industry. Can help early professionals to drive their path to become data professionals as well as give some great advices for those who wish to live abroad and achieve a sponsorship visa.

My current stack:
Data Integration / Processing -> Databricks | Dataflow | AWS Lambdas | Datafusion | DataFactory
Automation -> Power Platform | Power Automate | Power Apps
Databases -> Snowflake | Big Query | SQL Server
Data Transformation -> DBT
Versioning / Repository -> Git | Azure DevOps
Programming -> SQL | Python | PySpark
Cloud Providers -> Azure | GCP | AWS
Task / Data Orchestration -> Airflow
BI -> Power BI | Qlik Sense
CI / CD -> Git Lab CI
Containers -> Docker

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