Azure Cosmos DB Tutorial | cosmos db | AZ-203 | AZ-204 exam preparation скачать в хорошем качестве

Azure Cosmos DB Tutorial | cosmos db | AZ-203 | AZ-204 exam preparation

SUPPORT ME ON PATREON   / techoftheday   AZ-203 | AZ-204 exam preparation | Azure Cosmos DB Tutorial | Globally distributed database. In this module, you will cover: Microsoft Azure Cosmos DB. Managing containers and items. Creating and updating documents by using code. Server-side programming and features. Lesson 1 In this lesson, you will cover: Azure Cosmos DB. Core functionality. Consistency levels. Application programming interfaces (APIs). Migrating from NoSQL. Microsoft Azure Cosmos DB is a database service native to Azure that focuses on providing a high-performance database regardless of your selected API or data model. Azure Cosmos DB offers multiple APIs and models that can be used interchangeably for various application scenarios. Azure Cosmos DB provides five consistency levels: strong, bounded-stateless, session, consistent prefix, and eventual. Bounded-stateless, session, consistent prefix, and eventual are referred to as relaxed consistency models, because they provide less consistency than strong, which is the most highly consistent model available. The consistency levels range from very strong consistency—where reads are guaranteed to be visible across replicas before a write is fully committed across all replicas—to eventual consistency, where writes are readable immediately, and replicas are eventually consistent with the primary. Apache Cassandra API The Cassandra API in Azure Cosmos DB is a globally distributed Apache Cassandra service powered by the Azure Cosmos DB platform. Compatible with existing Apache Cassandra libraries, drivers, tools, and applications. SQL API The SQL API in Azure Cosmos DB is a JavaScript and JavaScript Object Notation (JSON) native API based on the Azure Cosmos DB database engine. The SQL API also provides query capabilities rooted in the familiar SQL query language. Today, Azure Cosmos DB can be accessed by using five different APIs. The underlying data structure in Azure Cosmos DB is a data model based on atom record sequences that enabled Azure Cosmos DB to support multiple data models. Because of the flexible nature of atom record sequences, Azure Cosmos DB will be able to support many more models and APIs over time. MongoDB API The MongoDB API in Azure Cosmos DB acts as a massively scalable MongoDB service powered by the Azure Cosmos DB platform. It is compatible with existing MongoDB libraries, drivers, tools, and applications. Table API The Table API in Azure Cosmos DB is a key-value database service built to provide premium capabilities (for example, automatic indexing, guaranteed low latency, and global distribution) to existing Azure Table storage applications without making any app changes. Gremlin API The Gremlin API in Azure Cosmos DB is a fully managed, horizontally scalable graph database service that makes it easy to build and run applications that work with highly connected datasets supporting Open Graph APIs (based on the Apache TinkerPop specification, Apache Gremlin). Account A database account is associated with a set of databases and a fixed amount of large object (blob) storage for attachments. You can create one or more database accounts by using your Azure subscription. Database A database is a logical container of document storage partitioned across collections. It is also a users container. Collection (container) A collection is a container of JSON documents and the associated JavaScript application logic. Collections can span one or more partitions or servers and can scale to handle practically unlimited volumes of storage or throughput. Document (item) User-defined (arbitrary) JSON content. By default, no schema needs to be defined, nor do secondary indexes need to be provided for all the documents added to a collection. Stored procedure (sproc) Application logic written in JavaScript that is registered with a collection and executed within the database engine as a transaction. Trigger Application logic written in JavaScript executed before or after either an insert, replace, or delete operation. User-defined function Application logic written in JavaScript. User-defined functions enable you to model a custom query operator and thereby extend the core SQL API query language. azure cosmos db tutorial, azure cosmos db mongodb api, azure cosmos db partitioning, cosmos db, azure, nosql,azure,cosmos db,json,tutorial,cosmos db,nosql,globally,distributed,no sql,cosmos #az203 #az204 #azurecosmosdbtutorial,#azurecosmosdbmongodbapi,#azurecosmosdbpartitioning,#cosmosdb,#azure,#nosql,#azure#tutorial,#cosmosdb,#nosql,#globally,#distributed,#nosql,#cosmos,#azurecosmosdb,#documentdb,#database ************************************* To connect with me follow me on Instagram or Facebook pages   / thenksharma     / thenksharma