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• 🧭 Episode List
• 💬 Episode Summary
• 📚 Study cheat sheet
• 🧠 Practice Test

Skills Learned

• Skills Learned
  • Describe products available for Storage such as Blob Storage, File Storage, Queue Storage, Table Storage, Disk Storage, and Storage Tiers
• Study Guide
  • Microsoft Learn: Benefits of using Azure to store data
  • Microsoft Learn: Storage Services
  • Microsoft Azure: Storage Services Overview
  • Microsoft Azure: Storage Services Documentation
  • Microsoft Azure: Blob Storage Overview
  • Microsoft Azure: Files Overview
  • Microsoft Azure: Disk Storage Overview
  • Microsoft Azure: Table Storage Overview
  • Microsoft Azure: Queue Storage Overview
• Expand your knowledge - extra resources
  • Azure Storage Tutorial | Introduction to Blob, Queue, Table & File Share
  • Azure Queue Storage Tutorial
  • Azure Table Storage Tutorial | Easy and scalable NoSQL database
  • Azure Files Tutorial | Easy file shares in the cloud
  • Azure Data Lake Storage (Gen 2) Tutorial | Best storage solution for big data analytics in Azure

Data Types

• Structured - Data that can be represented using tables with very strict schema. Each row must follow defined schema. Some tables have defined relationships between them. Typically used in relational databases.
• Semi-structured - Data that can be represented using tables but without strict defined schema. Rows must only have unique key identifier.
• Unstructured - Any files in any format. Like binary files, application files, images, movies, etc.

Storage Account

• Group of services which include
  • blob storage,
  • queue storage,
  • table storage, and
  • file storage
• Used to store
  • files,
  • messages, and
  • semi-structured data
• Highly scalable (up to petabytes of data)
• Highly durable (99.999999999% - 11 nines, up to 16 nines)
• Cheapest per GB storage

Blob Storage

• BLOB – binary large object – file
• Designed for storage of files of any kind
• Three storage tiers
  • Hot – frequently accessed data
  • Cool – infrequently accessed data (lower availability, high durability)
  • Archive – rarely (if-ever) accessed data

Queue Storage

• Storage for small pieces of data (messages)
• Designed for scalable asynchronous processing

Table Storage

• Storage for semi-structured data (NoSQL)
  • No need for foreign joins, foreign keys, relationships or strict schema
  • Designed for fast access
• Many programming interfaces and SDKs

File Storage

• Storage for files accessed via shared drive protocols
• Designed to extend on-premise file shares or implement lift-and-shift scenarios

Disk Storage

• Disk emulation in the cloud
• Persistent storage for Virtual Machines
• Different
  • sizes,
  • types (SSD, HDD)
  • performance tiers
• Disk can be unmanaged or managed