Cosmos DB for MongoDB developers : migrating to Azure Cosmos DB and using the MongoDB API /: migrating to Azure Cosmos DB and using the MongoDB API. ([2018])

• Record Type: Book
• Further Information: Note: Manish Sharma.
• Authors: Sharma, Manish
• Contents: 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. 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. 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. 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. 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.
• Publisher Details: New York, NY : Apress
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 005.75; Computer science; Object-oriented databases; COMPUTERS -- Databases -- General; Object-oriented databases; Computers -- Database Management -- General; Computers -- Data Processing; Databases; Information technology: general issues; Microsoft software; Microsoft .NET Framework; Database management; Computers -- Programming -- Microsoft Programming; Microsoft programming; Electronic books
• Languages: English
• ISBNs: 9781484236826; 1484236823
• Related ISBNs: 9781484236819; 1484236815
• Notes: Note: Online resource; title from PDF title page (EBSCO, viewed August 14, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.