Storage Layer you own this product

prerequisites
intermediate Java • BigQuery Java Client Library
skills learned
Cloud BigQuery • Cloud Storage (Archive Storage Class) • Cloud Functions • Cloud Scheduler
Mahesh Kumar
1 week · 6-8 hours per week · BEGINNER
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Look inside
In this liveProject, you’ll build an efficient cloud-based storage layer. Your pipeline requires two storage layers: long-term storage that’s suited for backup and recovery, and a hot layer that can be queried and visualized without latency. You’ll implement a Coldest-Storage layer for long-term, and then modify the Cloud BigQuery Table Schema for enriched querying and data analysis.
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:

TOOLS
  • Intermediate Java
  • BigQuery Java Client Library

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