Cosmos DB for MongoDB Developers - Manish Sharma

Cosmos DB for MongoDB Developers

Migrating to Azure Cosmos DB and Using the MongoDB API

(Autor)

Buch | Softcover
209 Seiten
2018 | 1st ed.
Apress (Verlag)
978-1-4842-3681-9 (ISBN)
29,95 inkl. MwSt
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. 

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. 

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.

Erscheinungsdatum
Zusatzinfo 118 Illustrations, black and white; XVIII, 209 p. 118 illus.
Verlagsort Berkley
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Programmiersprachen / -werkzeuge
Mathematik / Informatik Informatik Software Entwicklung
Schlagworte Azure • CosmosDB • DocumentDB • GraphDB • Gremlin • Microsoft • MongoDB • Neo4j • NoSQL • TableStorage
ISBN-10 1-4842-3681-5 / 1484236815
ISBN-13 978-1-4842-3681-9 / 9781484236819
Zustand Neuware
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