Skip to content

README.md

Latest commit

 

History

History
98 lines (71 loc) · 3.03 KB

README.md

File metadata and controls

98 lines (71 loc) · 3.03 KB

Azure Cosmos DB - Overview

Costa Rica

Microsoft Purview Azure Cosmos DB

Last updated: 2025-07-17

Azure Cosmos DB is a globally distributed, multi-model database service designed for scalability and performance. It supports document, key-value, graph, and column-family data models.

Table of Content

Features

  • Global Distribution: Data is automatically replicated across multiple regions.
  • Multi-Model Support: Supports document, key-value, graph, and column-family data models.
  • Low Latency: Provides millisecond response times for read and write operations.
  • Elastic Scalability: Automatically scales throughput and storage based on demand.

Use Cases

  • Real-time IoT applications.
  • E-commerce platforms requiring low-latency data access.
  • Social media applications with high user engagement.

Sample Code Snippet

from azure.cosmos import CosmosClient

# Initialize the Cosmos client
endpoint = "your-cosmos-db-endpoint"
key = "your-cosmos-db-key"
client = CosmosClient(endpoint, key)

# Create a database
database_name = "your-database-name"
database = client.create_database_if_not_exists(id=database_name)

# Create a container
container_name = "your-container-name"
container = database.create_container_if_not_exists(
    id=container_name,
    partition_key=PartitionKey(path="/partitionKey"),
    offer_throughput=400
)

# Insert an item
item = {
    "id": "1",
    "partitionKey": "example",
    "data": "sample data"
}
container.create_item(body=item)

# Query items
query = "SELECT * FROM c WHERE c.partitionKey='example'"
items = list(container.query_items(query=query, enable_cross_partition_query=True))

for item in items:
    print(item)

Security Features

  • Encryption: Data is encrypted both at rest and in transit.
  • Access Control: Role-based access control with Azure Active Directory integration.
  • Compliance: Meets standards like ISO, SOC, and GDPR.

Migration Strategies

  • Data Migration Tool: Use the Azure Cosmos DB Data Migration Tool for seamless migration.
  • Custom Scripts: Write custom scripts to migrate data from other NoSQL databases.

Performance Tuning

  • Indexing: Customize indexing policies to optimize query performance.
  • Partitioning: Design partition keys to distribute data evenly.
  • Throughput Management: Adjust throughput settings based on workload requirements.
Total views

Refresh Date: 2025-07-17