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· 분류 : 외국도서 > 컴퓨터 > 프로그래밍 > 마이크로소프트 프로그래밍
· ISBN : 9781484236819
· 쪽수 : 209쪽
· 출판일 : 2018-08-10
목차
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