Azure Classroom Series – 09/June/2021

Developing Solutions using Cosmos DB

  • Azure Cosmos DB is a NoSQL database.
  • In Relational (SQL) Databases the table and cell definition is known as schema and must be defined before we can enter data into it. Preview
  • For Querying the data from Relational Databases, SQL is Used.
  • If we need to pull the relevant data from multiple tables, we use join queries.
  • NoSQL databases store data as JSON documents,
    "id": "0001",
    "courseName": "Azure",
    "curriculum": "",

    "id": "0002",
    "courseName": "Python",
    "roles": [
        "Python developer",
        "Full Stack Python Developer",
        "Python Automation Engineer"

  • One of the biggest benefits of using NoSQL is we can easily mix the records of completely different schemas

  • Understanding Cosmos DB:

    • Cosmos DB Storage is the premium offering for Azure Table Storage. Its a multi-model and globally distribute data base service that is designed to horizontally scale and replicate you data to any number of Azure Regions.
    • This HA and low latency makes Cosmos DB most suitable for
      • mobile applications
      • games
      • Applications that need to be globally distributed.
  • Cosmos DB Offers following benefits

    • Turnkey global distribution
    • Always On: SLA 99.99% high availability (HA) for both reads and writes.
    • Secure by default
  • Cosmos DB supports the following APIs

    • SQL API
    • MongoDB API
    • Gremlin API
    • Table API
    • Cassandra API
  • Creating a Cosmos DB Preview Preview Preview Preview Preview Preview Preview Preview

  • Managing Azure Cosmos DB Data using


  • Create a new resource group and create a cosmos db.

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