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 LearnMigrate to MongoDB and understand its strategiesDevelop a sample application using MongoDB’s client driverMake use of sizing best practices and performance optimization scenariosOptimize MongoDB’s partition mechanism and indexingWho This Book Is ForMongoDB developers who wish to learn Azure Cosmos DB. It specifically caters to a technical audience, working on MongoDB.
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Chapter 1:Why NoSQL?. - Chapter 2:CosmosDB overview. - Chapter 3:CosmosDB Multi-geo replication. - Chapter 4:Indexing.- Chapter 5:Partitioning. - Chapter 6:Consistency. - Chapter 7: Sizing. - Chapter 8:Migrating to CosmosDB MongoDB API. - Chapter 9:CosmosDB MongoDB API – Advanced services.
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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 strategiesDevelop a sample application using MongoDB’s client driverMake use of sizing best practices and performance optimization scenariosOptimize MongoDB’s partition mechanism and indexing
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First book covering the MongoDB API of Cosmos DB Discusses integration of Azure Cosmos DB with Spark Covers advanced features such as the multi-homing API and TTL using the Cosmos DB for MongoDB API
Produktdetaljer
ISBN
9781484236819
Publisert
2018-08-10
Utgiver
Vendor
Apress
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Professional/practitioner, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Forfatter
Biographical note
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.