Table Storage

Official Documentation

Service Description

Microsoft Azure Table Storage is another NoSQL database in the Microsoft Azure platform. Despite what the name suggests, it is not a table-based relational database system but instead a memory for storing large semi-structured data sets in the cloud that require only a primary key for access and do not require complex relational database operations. From a single key (consisting of two mandatory attributes: partition key and row key), it is possible to read entities that consist of freely definable, typed properties (a property consists of a name, a type (e.g., string, integer), and a value).

Using the primary key values, Microsoft Azure can consolidate entries into partitions and distribute these automatically to various storage media to optimize performance. The data is automatically stored in triplicate, in a high-availability way, and can be accessed via RESTful interfaces. Alternative means of access include .NET, Java, and PHP class libraries. Although Table Storage has less functionality than SQL Database in terms of data management and complex access operations, it does provide affordable storage of semi-structured data and enables efficient, high-performance access to this data. Data sets of up to 500 terabytes per storage account are supported.

Getting Started

  1. 4/29/2015, Video, 0:56:44
    Cloud, on premise, and mobile applications are all increasingly using cloud storage. Azure Storage is a cloud storage service which provides scalability, durability, and...
  2. 5/19/2015, Video, 1:20:35
    Are you planning to deploy and run modern, cloud-scale applications in your private cloud? Do you know that all VM storage in your private cloud will soon be blob...
  3. 6/20/2016, Tool
    Microsoft Azure Storage Explorer (Preview) is a standalone app from Microsoft that allows you to easily work with Azure Storage data on Windows, OSX and Linux.

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Web Content

Table Storage Documentation

     2.2. MongoDB
          2.2.1. .NET
          2.2.2. Java
          2.2.3. Node.js
          2.2.4. Python
          2.2.5. Xamarin
          2.2.6. Golang
     2.3. Gremlin
          2.3.1. Gremlin console
          2.3.2. .NET
          2.3.3. Java
          2.3.4. Node.js
          2.3.5. Python
          2.3.6. PHP
     2.4. Cassandra
          2.4.1. .NET
          2.4.2. Java
          2.4.3. Node.js
          2.4.4. Python
     2.5. Table
          2.5.1. .NET
          2.5.2. Java
          2.5.3. Node.js
          2.5.4. Python
3. Concepts
     3.1. Global distribution
          3.1.1. Overview
          3.1.2. Consistency Levels
          3.1.3. Choosing the right consistency level
          3.1.5. Consistency, availability and performance tradeoffs
          3.1.6. High availability
          3.1.7. Globally scaling provisioned throughput
          3.1.8. Conflict types and resolution policies
          3.1.10. Regional presence
     3.2. Partitioning
          3.2.1. Overview
          3.2.2. Logical partitions
          3.2.3. Creating a synthetic partition key
     3.3. Provisioned throughput
          3.3.1. Request units
          3.3.2. Provision throughput on containers and databases
     3.4. Working with Azure Cosmos account
4. Multi-model APIs
          4.2.1. Introduction
          4.2.3. Tutorials
      1 - Create account
           Node.js console app
           Node.js and Angular app
                Part 1 - Introduction
                Part 3 - Add UI with Angular
                Part 4 - Create an account
                Part 6 - Perform CRUD operations
           Node.js and React app
      2 - Migrate data
      3 - Query data
      4 - Distribute data globally
          4.2.4. How-to guides
      Get the connection string
      Connect using Studio 3T
      Connect using Robomongo
      Connect using Mongoose
      Distribute reads globally
      Time to live - MongoDB
      Manage data indexing

Online Training Content

Date Title
11/16/2017 Understanding and Using Azure Storage
11/16/2017 Planning and Designing Microsoft Azure Storage Solutions
5/24/2017 Developing NoSQL Solutions in Azure
3/7/2015 Microsoft Azure Fundamentals: Storage and Data
12/23/2014 You've Got Documents! A MongoDB Jump Start
2/13/2014 Windows Azure Storage - Design and Implementation Jump Start
2/13/2014 Windows Azure Storage - Design and Implementation Jump Start


Tool Description
Cloud Combine Cloud Combine is IDE for cloud services that works in a way you expect. It supports Microsoft Azure, Amazon AWS and Google Cloud as well as golden classics such as FTP.
Azure Management Studio One tool to manage your Microsoft Azure cloud storage, diagnostics data and application workflows.
Microsoft Azure Storage Explorer Microsoft Azure Storage Explorer (Preview) is a standalone app from Microsoft that allows you to easily work with Azure Storage data on Windows, OSX and Linux.


Date Title Length
Explore Azure Cosmos DB : Build 2018
Explore Azure Cosmos DB
Azure Storage for Serverless .NET Apps in Minutes
Demystifying Cloud Data Services for an App Developer
How Johnson Controls built an intelligent cloud solution at scale
Customize table columns in Microsoft Azure Storage Explorer
Storage Explorer table query
Introduction to Azure Table Storage
Introduction to Azure Table Storage
Introduction to Azure Table Storage

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