Rise of Google Cloud

Build architecture on Google Cloud Platform with services like BigQuery, Cloud Storage, Cloud Functions, Data flow, and other tools which differentiate GCP as a cloud provider.

What You'll Learn

  • VPS setup and networking configuration with Compute Engine
  • Deploying and interacting with cost-effective serverless functions
  • Developing managed applications via App Engine
  • Integrating applications with the BigQuery data warehouse programmatically
  • Using the Google Cloud Storage SDK to store and serve assets as an alternative to S3

For those who...

  • Are considering cloud providers or weighing the benefits of "multi-cloud"
  • Are GCP customers looking to get the most of their provider
  • Anybody looking to have fun with GCP's $500 credit for new customers

Tags

Python Software DevOps Data Engineering Architecture Pandas Excel Data Analysis SQL Data Science REST APIs JavaScript Flask Code Snippet Corner AWS NodeJS Google Cloud Frontend MySQL Apache Data Vis BI NoSQL GraphQL Spark PostgreSQL ExpressJS ETL Pipelines Tableau PowerBI SQLAlchemy GatsbyJS Powerpivot Machine Learning Automation Big Data Atlassian Mapbox Golang Scraping JAMStack Data Warehouses Plotly Docker Concurrency Hashicorp Django ReactJS SaaS Products Frameworks Java FastAPI Terraform Microsoft

Series'

Data Analysis with Pandas 11
Build Flask Apps 11
Learning Apache Spark 6
Google Cloud Architecture 6
Mastering SQLAlchemy 4
GraphQL Tutorials 4
Welcome to SQL 4
Working with MySQL 4
Mapping Data with Mapbox 3
Web Scraping With Python 2
Python Concurrency with Asyncio 2
Getting Started with Django 2