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Process and Enrich Data

prerequisites: intermediate Java • Maven Build Tool
skills learned: Google Compute Engine • Cloud Dataflow • Cloud Big Query

Mahesh Kumar

1 week · 6-8 hours per week · BEGINNER

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In this liveProject, you’ll apply transformations to the raw data ingested in Cloud Pub/Sub, in order to make it easy to consume for downstream systems. You’ll need to work out the best data transformation to apply, and how to maintain performance to near-real-time levels.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Mahesh Kumar

Mahesh Kumar RP is a Google Certified Professional in various categories including cloud architecture, data, network, and security engineering. He is a Google Authorized Trainer. He focuses on GCP design and architecture for infrastructure migration, building data pipelines, and building secure cloud infrastructure. Currently, he works as an independent consultant where he implements and provides guidance for using GCP products and services. He worked as a VP of Technology in a Google cloud partner organization. As a GCP Evangelist and enthusiastic YouTuber, he maintains a YouTube channel named Learn GCP with Mahesh where he shares interesting Google Cloud Platform concepts, tips, tricks, and best practices. His channel currently has over 10,000 subscribers with over 682,000 views and over 40,000 hours of watch time.

prerequisites

The liveProject is for intermediate Java programmers. This project will use the last stable version of Java 15. To begin this liveProject, you will need to be familiar with:

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Intermediate Java
Maven Build Tool
Apache Beam SDK

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