Skip to content

Instantly share code, notes, and snippets.

@misho-kr

misho-kr/Introduction to GCP.md

Last active May 8, 2024 01:54
Show Gist options
  • Save misho-kr/a0688a6b88e9136416776cdeaa1ab8c1 to your computer and use it in GitHub Desktop.
Save misho-kr/a0688a6b88e9136416776cdeaa1ab8c1 to your computer and use it in GitHub Desktop.
Download ZIP
Summary of "Introduction to GCP" from DataCamp.Com
Raw
Introduction to GCP.md

Introduction to GCP

Introduction to GCP's architecture and core services, including Storage, Database, and Compute. GCP's data handling capabilities, covering Cloud Spanner, BigQuery, and the integration of AI and ML technologies. Modernization of business using GCP, addressing legacy systems, cloud migration, and digital transformation.

By Nabeel Imam - Data scientist

Cloud basics and beyond

Unique advantages and diverse services in Google Cloud Platform (GCP) storage, database, and compute. Architecture, core components, and service interconnectivity. Floud data storage, virtual machines, container orchestration, and serverless computing.

  • Google Compute Engine
    • Flexible infrastructure-as-a-service (IaaS)
    • Platform-as-a-service (PaaS)
    • Cloud Functions
    • Containers
  • Google Cloud Storage
    • Files and data objects
    • Cloud SQL
    • Bigtable
  • Big Data
  • Machine Learning
    • Vertex AI

The GCP infrastructure

GCP's handling of data, storage solutions like Cloud Spanner and BigQuery. Business benefits of GCP data storage, analytics services, and integration strategies. Kubernetes Engine and the application of AI and ML.

  • Data-driven culture
    • Structured and Unstructured
    • Semi-structured data - trees, key-value pairs
  • Analytics in the warehouse
    • BigQuery, Looker
    • Data lakes
  • Engines and functions
    • Server-based and Serverless
    • Microservices in containers
    • Kubernetes
    • Anthos
  • AI and ML Solutions
    • Vision AI, Video AI
    • Natural Language AI
    • BigQuery ML training with SQL
    • AutoML
    • Vertex AI

Modernizing businesses with GCP

Nodernize a business with Google Cloud Platform (GCP). Legacy infrastructure challenges and benefits of GCP upgrade. Motivations for application modernization and cloud-native applications. The effect of migration to cloud, including expenditure shifts, responsibilities in cloud models, and selecting appropriate cloud setups.

  • Digital transformation
  • Retail transformation
  • The blockers
  • Cloud models - Public, Private, Hybrid, Multi cloud
  • Apps on GCP
    • Cloud-native apps
  • The business difference
    • One-premise vs. Cloud
    • The finances
    • Responsibility
    • IaaS, PaaS and SaaS
  • The "cloud" transformation
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment