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

ISBN-13: 9781484236819 / Angielski / Miękka / 2018 / 209 str.

Manish Sharma

Spis treści

Chapter 1:  Why NoSQL?

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 2:  CosmosDB overview

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 3: CosmosDB Multi-geo replication

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 4: Indexing

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

No of pages: 15 – 20

Sub - Topics:

1. Auto Indexing

2. Custom Indexing

3. Indexing methods

4.      Optimizations

Chapter 5: Partitioning

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

Chapter 6: Consistency

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

Chapter 7: Sizing

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?

2.      Calculate RU

3.      Optimize RU consumption 

Chapter 8: Migrating to CosmosDB MongoDB API

No of pages: 20 – 30

Chapter Goal: Detailing of CosmosDB MongoDB API.

1.      Migration Strategies

2.      Preparation

3.      Migration

Chapter 9: CosmosDB MongoDB API – Advanced services

No of pages: 20 – 30

Chapter Goal: Detailing of CosmosDB MongoDB API.

1.      Aggregation Pipeline support

2.      Spark connector

3.      TBD

O autorze

Manish Sharma is a senior technology evangelist at Microsoft. He has an experience of 14 years with various organizations and is primarily involved in technological enhancements.He is a certified Azure Solution Architect, Cloud Data Architect, .NET Solution Developer and PMP certified project manager. He is a regular speaker in various technical conferences organized by Microsoft (FutureDecoded, Azure Conference, specialized Webinars) & Community (GIDS, Docker etc.) for Client-Server, Cloud & Data technologies. 

Blurb

Learn Azure Cosmos DB and its MongoDB API with hands-on samples and advanced features such as the multi-homing API, geo-replication, custom indexing, TTL, request units (RU), consistency levels, partitioning, and much more. Each chapter explains Azure Cosmos DB’s features and functionalities by comparing it to MongoDB with coding samples. 

Cosmos DB for MongoDB Developers starts with an overview of NoSQL and Azure Cosmos DB and moves on to demonstrate the difference between geo-replication of Azure Cosmos DB compared to MongoDB. Along the way you’ll cover subjects including indexing, partitioning, consistency, and sizing, all of which will help you understand the concepts of read units and how this calculation is derived from an existing MongoDB’s usage. 

The next part of the book shows you the process and strategies for migrating to Azure Cosmos DB. You will learn the day-to-day scenarios of using Azure Cosmos DB, its sizing strategies, and optimizing techniques for the MongoDB API. This information will help you when planning to migrate from MongoDB or if you would like to compare MongoDB to the Azure Cosmos DB MongoDB API before considering the switch.

You will:

• Migrate to MongoDB and understand its strategies
  
• Develop a sample application using MongoDB’s client driver
  
• Make use of sizing best practices and performance optimization scenarios
  
• Optimize MongoDB’s partition mechanism and indexing