The document provides an overview of Azure Cosmos DB, detailing its features such as APIs for SQL, MongoDB, Gremlin, and Cassandra, along with its capabilities for handling high volumes of dynamic and real-time data. It emphasizes the platform's benefits including global distribution, high availability, consistency models, data movement integrations, and operational management through an emulator. The agenda includes topics like data indexing, transactions, and various integration options with Azure services.

1. Azure Cosmos DB
Udaiappa Ramachandran ( Udai )
https://udai.io

2. About me
• Udaiappa Ramachandran ( Udai )
• CTO-Akumina, Inc.
• Microsoft Azure MVP
• Cloud Expert
• Microsoft Azure, Amazon Web Services, and Google
• New Hampshire Cloud User Group (http://www.meetup.com/nashuaug )
• https://udai.io

3. Agenda
• Intro to SQL API
• SQL API SDK
• Partition and Indexes
• Data movement
• Change Feed
• Integration (Azure Functions and Search)
• Consistency Models
• Replication and Multi-write
• Cosmos DB Emulator
• Demo…Demo…Demo…

4. Introduction
• No SQL Feature(s)
• High Volume of data
• Non relational
• Data from many different sources and forms
• Dynamic data schema to store different types of data
• High velocity and real time data
• Designed for scale-out
• Cosmos DB is a Platform as a service for the following No SQL Databases
• SQL API (Document DB) – JSON Document (Sql Queries)
• MongoDB – BSON Document (MondoDB queries)
• Gremlin – Graph (vertices and Edges)
• Cassandra – Columnar (Schema)
• Table API – Key Value (Azure Table Storage)

5. Cosmos DB SQL API
• Fast NoSQL database
• Globally distributed
• Guaranteed speed at any scale
• Single digit milliseconds response time
• Ready for mission-critical applications (99.999)
• Fully managed and cost-effective serverless database

6. Database, Containers and Items
• Indexing
• Data Types
• Time to live
• Transactions and
optimistic
• Concurrency
control

7. Throughput
• Measured as Request Units (RUs)
• Assigned at Database or Container level
• Standard
• AutoScale
• Serverless

8. Partitions
• Logical partitions
• Physical partitions
• Choosing partition key
• Synthetic partition key

9. Data Movement
• Kafka Connector
• Stream Analytics
• Spark Connector
• Azure Data Factory

10. Consistency Model
• Bounded Staleness
• Consistent Prefix
• Eventual
• Session
• Strong

11. Change Feed
• Reading change feed
• Change feed processor
• Trigger Azure Functions

12. Integration with Functions/Cognitive Search
• Bind Cosmos DB using Change Feed
• Run FullText index using Cognitive Search

13. .NET SDK
• Client-Side (SDK)
• Working with Databases, Containers, Documents
• Bulk insert
• Transaction support
• Stateful and Stateless paging
• Server-Side
• Stored Procedure
• User-defined Functions
• Triggers
• Bulk insert using Stored Procedure

14. Multi-Region Write
• Sliding scale of well-defined consistency models (strong consistency is not
supported)
• Low latency write operations across the globe
• High availability with financially backed SLA
• Multi-region support in the SDK
• Conflict resolution policy (built-in and custom)
• insert, replace, delete

15. Replication & Failover
• Distribute data across global data centers
• Automatic failover and manual failover
• Configure region in SDK

16. Cosmos DB Emulator
• Run cosmos DB locally
• Runs on Windows, Linux or Container

17. Response Status Code & Headers
• HTTP Status Codes for Azure Cosmos DB | Microsoft Docs
• Common response headers - Azure Cosmos DB REST API | Microsoft Docs

18. Reference
• Introduction to Azure Cosmos DB | Microsoft Docs
• Complete Training Video: https://docs.microsoft.com/en-us/events/learn-
events/learnlive-azure-cosmos-db-certification-study-hall/?WT.mc_id=AZ-
MVP-5004665
• Azure Cosmos DB Capacity Calculator
• Demo Samples: https://github.com/nhcloud/techtalk