migrating to Azure Cosmos DB and using the MongoDB API /
نام نخستين پديدآور
Manish Sharma.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
New York, NY :
نام ناشر، پخش کننده و غيره
Apress,
تاریخ نشرو بخش و غیره
[2018]
مشخصات ظاهری
نام خاص و کميت اثر
1 online resource
يادداشت کلی
متن يادداشت
Includes index.
یادداشتهای مربوط به مندرجات
متن يادداشت
Intro; Table of Contents; About the Author; About the Technical Reviewer; Acknowledgments; Introduction; Chapter 1: Why NoSQL?; Types of NoSQL; Key-Value Pair; Columnar; Document; Graph; What to Expect from NoSQL; Atomicity; Consistency; Isolation; Durability; Consistency; Availability; Partition Tolerance; Example 1: Availability; Example 2: Consistency; NoSQL and Cloud; IaaS; PaaS; SaaS; Conclusion; Chapter 2: Azure Cosmos DB Overview; Data Model Overview; Provisioning Azure Cosmos DB; Turnkey Global Distribution; Latency; Consistency; Throughput; Availability; Reliability.
متن يادداشت
Auto-Shifting Geo APIs; Consistency and Global Distribution; Conclusion; Chapter 4: Indexing; Indexing in MongoDB; Single Field Index; Query Using an Index; Query Not Using an Index; Compound Index; Multikey Index; Geospatial Index; Text Index; Hashed Index; Indexing in Azure Cosmos DB; TTL Indexes; Array Indexes; Sparse Indexes; Unique Indexes; Custom Indexing; Indexing Modes; Indexing Paths; Index Kinds; Hash Indexes; Range Indexes; Geospatial Indexes; Index Precision; Data Types; Conclusion; Chapter 5: Partitioning; Sharding; Partitioning in Azure Cosmos DB; Optimizations.
متن يادداشت
Chapter 8: Migrating to Azure Cosmos DB-MongoDB API; Migration Strategies; mongoexport and mongoimport; For Linux; For Windows mongodump/mongorestore; For Linux; For Windows; BulkExecutor; Application Switch; Optimization; Conclusion; Chapter 9: Azure Cosmos DB-MongoDB API Advanced Services; Aggregation Pipeline; Spark Connector; Conclusion; Index.
متن يادداشت
Protocol Support and Multimodal API; Table Storage API; SQL (DocumentDB) API; FROM Clause; WHERE Clause; SELECT Clause; ORDER BY Clause; Query Example; MongoDB API; Graph API; Cassandra API; Elastic Scale; Throughput; Storage; Consistency; Strong; Bounded Staleness; Session; Consistent Prefix; Eventual; Performance; Service Level Agreement (SLA); Availability SLA; Throughput SLA; Consistency SLA; Latency SLA; Conclusion; Chapter 3: Azure Cosmos DB Geo-Replication; Database Availability (DA); MongoDB Replication; Data-Bearing Nodes; Arbiter Nodes; Azure Cosmos DB Replication.
متن يادداشت
Selecting a Partition Key; Use Case; Evaluate Every Field to Be a Potential Partition Key; Selection of the Partition Key; Conclusion; Chapter 6: Consistency; Consistency in Distributed Databases; Consistency in MongoDB; Consistency in Azure Cosmos DB; Consistent Reads/Writes; Strong Consistency; Bounded Staleness; Session; High Throughput; Consistent Prefix; Eventual; Conclusion; Chapter 7: Sizing; Request Units (RUs); Allocation of RUs; Calculating RUs; Optimizing RU Consumption; Document Size and Complexity; Data Consistency; Indexing; Query Patterns; Conclusion.
بدون عنوان
0
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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.
یادداشتهای مربوط به سفارشات
منبع سفارش / آدرس اشتراک
OverDrive, Inc.
منبع سفارش / آدرس اشتراک
Safari Books Online
شماره انبار
68D1AC63-6621-410D-9FBC-6929CA265989
شماره انبار
CL0500000990
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
Cosmos DB for MongoDB developers.
شماره استاندارد بين المللي کتاب و موسيقي
9781484236819
عنوان به منزله موضوع
موضوع مستند نشده
MongoDB.
موضوع مستند نشده
MongoDB.
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Object-oriented databases.
موضوع مستند نشده
COMPUTERS-- Databases-- General.
موضوع مستند نشده
Databases.
موضوع مستند نشده
Information technology: general issues.
موضوع مستند نشده
Microsoft programming.
موضوع مستند نشده
Object-oriented databases.
مقوله موضوعی
موضوع مستند نشده
COM-- 021000
موضوع مستند نشده
UMP
موضوع مستند نشده
UMP
رده بندی ديویی
شماره
005
.
75
ويراست
23
رده بندی کنگره
شماره رده
QA76
.
9
.
D3
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )