Please enable JavaScript.
Coggle requires JavaScript to display documents.
Plan and implement Azure Cosmos DB SQL API - Coggle Diagram
Plan and implement Azure Cosmos DB SQL API
Introduction
Plan Resource Requirements
Understand throughput
Container-level throughput provisioning
Database-level throughput provisioning
Mixed-throughput provisioning
Evaluate throughput requirements
Configuring throughput
Estimating ad-hoc RU/s consumption
Evaluate data storage requirements
Migrating existing transactional workloads
Time-to-live (TTL)
Configuring TTL on a container
Examples
Plan for data retention with time-to-live (TTL)
Configure Azure Cosmos DB SQL API database and containers
Serverless
Use cases for serverless
Compare serverless vs. provisioned throughput
Compare workloads
Compare request units
Compare global distribution
Compare storage limits
Autoscale throughput
Compare autoscale vs. standard (manual) throughput
Move data into and out of Azure Cosmos DB SQL API
Move data by using Azure Data Factory
Setup
Read from Azure Cosmos DB
Write to Azure Cosmos DB
Move data by using Stream Analytics
Move data by using the Azure Cosmos DB Spark connector
Move data by using a Kafka connector
Setup
Configuration
Topics to containers map
Write to Azure Cosmos DB
Read from Azure Cosmos DB