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.
About the Author: Manish Sharma is a senior technology evangelist at Microsoft.
209 Pages
Computers + Internet, Programming
Description
Book Synopsis
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. What You Will Learn
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
Who This Book Is For MongoDB developers who wish to learn Azure Cosmos DB. It specifically caters to a technical audience, working on MongoDB.
From the Back Cover
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
About the Author
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.
Dimensions (Overall): 9.21 Inches (H) x 6.14 Inches (W) x .48 Inches (D)
Weight: .72 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 209
Genre: Computers + Internet
Sub-Genre: Programming
Publisher: Apress
Theme: Microsoft
Format: Paperback
Author: Manish Sharma
Language: English
Street Date: August 10, 2018
TCIN: 1011989273
UPC: 9781484236819
Item Number (DPCI): 247-15-5918
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 0.48 inches length x 6.14 inches width x 9.21 inches height
Estimated ship weight: 0.72 pounds
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