MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 19 lectures (1h 9m) | Size: 367.6 MB

Having an idea of distributed data processing e.

Easy to follow, hands-on introduction to batch data processing in Python

Core concepts of the Apache Beam framework

How to design a pipeline in Apache Beam

How to install Apache Beam locally

How to build a real-world ETL pipeline in Apache Beam

How to read and write CSV data from Apache Beam

How to apply built-in and custom transformations on a dataset

How to deploy your pipeline to Cloud Dataflow on Google Cloud

Python programming experience

g. You have used Spark before

Having Conda (or other Virtual Environment Manager) installed on your machine

Apache Beam is an open-source programming model for defining large scale ETL, batch and streaming data processing pipelines. It is used by companies like Google, Discord and PayPal.

In this course you will learn Apache Beam in a practical manner, with every lecture comes a full coding screencast. By the end of the course you'll be able to build your own custom batch data processing pipeline in Apache Beam.

This course includes 20 concise bite-size lectures and a real-life coding project that you can add to your Github portfolio! You're expected to follow the instructor and code along with her.

You will learn:

How to install Apache Beam on your machine

Basic and advanced Apache Beam concepts

How to develop a real-world batch processing pipeline

How to define custom transformation steps

How to deploy your pipeline on Cloud Dataflow

This course is for all levels. You do not need any previous knowledge of Apache Beam or Cloud Dataflow.

Data Eeers

Aspiring Data Eeers

Python developers interested in Apache Beam



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