My personal project for data engineering zoomcamp
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Updated
May 18, 2024 - Python
Google Cloud Platform, offered by Google, is a suite of cloud computing services. It provides Infrastructure as a Service, Platform as a Service, and serverless computing environments. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning.
My personal project for data engineering zoomcamp
Start your Google Cloud Journey with 150 practical demos. Google Cloud Associate Cloud Engineer certification - GCP ACE
Collection of sample apps showcasing popular use cases using Cloud Functions for Firebase
Airflow DAGs for exporting, loading, and parsing the Ethereum blockchain data. How to get any Ethereum smart contract into BigQuery https://towardsdatascience.com/how-to-get-any-ethereum-smart-contract-into-bigquery-in-8-mins-bab5db1fdeee
This is a repository for immersive learning, meditation or software development.
💸 Calculate estimated monthly costs of Google Cloud Platform products and resources via YAML files and CLI program (Linux, macOS, Windows)
YouTube video release tracker, using Google Cloud Platform API / YouTube API V3.
Google App Engine Standard Java runtime: Prod runtime, local devappserver, Cloud SDK Java components, GAE APIs, and GAE API emulators.
C++ Client Libraries for Google Cloud Services
"Explore GCP Training with labs and demos, guiding learners through practical exercises to master Google Cloud Platform skills.
Infrastructure as Code (IaC) example for Backstage.
🚀 Open-Source TypeScript Serverless Framework. It supports all kinds of application development, from small-scale tasks to global full-stack scaling💃
Database Migration Assessment
Terraform modules for gcp infrastructure projects
A python library to enable GenAI and LLMOps within Google Cloud Platform
☁️ Choose the optimal Google Compute Engine machine type or instance in the many Google Cloud Platform regions
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
Released April 7, 2008