[ FreeCourseWeb.com ] Batch Processing with Apache Beam in Python
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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
Easy to follow, hands-on introduction to batch data processing in Python
What you'll learn:
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
Requirements
Python programming experience
Having an idea of distributed data processing e.g. You have used Spark before
Having Conda (or other Virtual Environment Manager) installed on your machine
Description
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.
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