Cosmos DB for MongoDB Developers: Migrating to Azure Cosmos DB and Using the MongoDB API

Chapter Goal: To set the context for the NoSQL

No of pages: 5 - 8      

Sub -Topics

1.      Existence of NoSQL databases

2.      Types of NoSQL databases & their usage

3.      Expectation from NoSQL databases

4.      Future of NoSQL on cloud

Chapter Goal: Provide overview of CosmosDB

No of pages: 20 - 25

Sub - Topics  

1.      Global distribution

2.      Multi Modal API

3.       Elastic scale

4.       Consistency

5.      Performance

6.      SLA

Chapter Goal: Help reader to provide an understanding the difference between geo replication of CosmosDB as compared to MongoDB

No of pages : 10 - 15

Sub - Topics: 

1.      Configuration

2.      Auto-shift Geo APIs

3. Multi-read / single write region pattern

4. Atomicity & Geo-replication

Chapter Goal: Help reader to understand indexing behavior of CosmosDB compare to MongoDB

No of pages: 15 - 20

Sub - Topics:

2. Custom Indexing

3. Indexing methods

4.      Optimizations

Chapter Goal: Help reader to understand partitioning behavior of CosmosDB compare to MongoDB

No of pages: 15 - 20

Sub - Topics:

1. MongoDB Partitioning

2. Partitioning in CosmosDB

3. Optimizations

No of pages: 5 - 10

Chapter Goal: Help reader to understand different consistency level and tune it with comparison to MongoDB.

1.      Consistent read/write

2.      High throughput

3.      Balancing act

No of pages: 5 - 10

Chapter Goal: Help reader to understand the concepts of Read Units & its calculation drived from existing MongoDB's usage.

1.      What is RU?

3.      Optimize RU consumption 

No of pages: 20 - 30

Chapter Goal: Detailing of CosmosDB MongoDB API.

1.      Migration Strategies

2.      Preparation

3.      Migration

No of pages: 20 - 30

Chapter Goal: Detailing of CosmosDB MongoDB API.

1.      Aggregation Pipeline support

2.      Spark connector

3.      TBD