Cosmos DB Service
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- Cosmos DB is Microsoft's globally distributed database service that can scale worldwide to manage large amounts of data. It supports multiple APIs and data models including document, graph, table, and MongoDB APIs. - Key advantages include global distribution of data across regions, automatic scaling of storage and throughput, low latency and high availability, flexible schemas, and low cost of ownership. - Cosmos DB supports document, table, graph and MongoDB APIs. MongoDB and DocumentDB are both document oriented and store data as JSON, while table API uses a key-value model and graph API models relationships. - The document compares Cosmos DB to other database options like MySQL and MongoDB, covering their data models, usage, and how to set
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Azure cosmos db, Azure no-SQL database, 
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No sql database
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Unit 3 MongDB
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Elasticsearch is a search engine built on Lucene that provides features for data storage, analysis, and search. It has a distributed architecture and uses JSON/REST APIs. Elasticsearch supports features like distributed search, high availability, multitenancy, and horizontal scaling but lacks some search functions compared to MongoDB.
MongoDB and Elasticsearch both support features like distributed architecture, high availability, and horizontal scaling but Elasticsearch has faster search speeds while MongoDB provides better support for different
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NOSQL in big data is the not only structure langua.pdf
NOSQL in big data is the not only structure langua.pdfajajkhan16 This presentation discusses the limitations of relational database management systems (RDBMS) in handling large datasets and introduces NoSQL databases as an alternative. It begins by defining RDBMS and describing issues with scaling RDBMS to big data through techniques like master-slave architecture and sharding. It then defines NoSQL databases, explaining why they emerged and classifying them into key-value, columnar, document, and graph models. The presentation concludes that both RDBMS and NoSQL databases have advantages, suggesting a polyglot approach is optimal to handle different data storage needs.
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Everything You Need to Know About MongoDB Development.pptx75waytechnologies Today, organizations from different verticals want to harness the power of data to grab new business opportunities and touch new heights of success. Such an urge leads them to follow unique ways to use and handle data effectively. After all, the right use of data boosts the ability to make business decisions faster. But at the same time, working with data is not as easy as a walk in the garden. It sometimes turns out to be a long-standing problem for businesses that also affects their overall functioning.
Companies expect fast phase development and better data management in every scenario. Modern web-based applications development demands a quality working system that can be deployed faster, and the application is able to scale in the future as per the constantly changing environment.
Earlier, relational databases were used as a primary data store for web application development. But today, developers show a high interest in adopting alternative data stores for modern applications such as NoSQL (Not Only Structured Query Language) because of its incredible benefits. And if you ask us, one of the technologies that can do wonders in modern web-based application development is MongoDB.
MongoDB is the first name strike in our heads when developing scalable applications with evolving data schemas. Because MongoDB is a document database, it makes it easier for developers to store both structured and unstructured data. Stores and handles large amounts of data quickly, MongoDB is undoubtedly the smart move toward building scalable and data-driven applications. If you’re wondering what MongoDB is and how it can help your digital success, this blog is surely for you.
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What Are The Best Databases for Web Applications In 2023.pdfLaura Miller A database is used to store and manage structured & unstructured data in a system. Read the blog to know 2023's top seven databases for web applications.
NoSQL.pptx
NoSQL.pptxShamrizSadat The document discusses NoSQL databases and MongoDB. It begins by explaining the advantages of NoSQL databases over SQL databases, such as flexibility and scalability. It then describes the four main types of NoSQL databases - document databases, key-value stores, wide column stores, and graph databases. The document recommends using a NoSQL database for applications that require flexible schemas and high scalability. It suggests MongoDB is well-suited for websites due to its support for complex data structures. The document concludes by recommending MongoDB Atlas for hosting MongoDB databases in the cloud to avoid infrastructure management.
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Cosmos DB Service
- 1. Cosmos DB By Sakshi & Prashant
- 2. Agenda What is CosmosDB ? Advantages Types MySQL MongoDB
- 4. What is CosmosDB ? Azure Cosmos DB is Microsoft’s globally-distributed database service "for managing data at planet-scale" launched in May 2017. It builds upon and extends the earlier Azure DocumentDB, which was released in 2014. It is schema-less and generally classified as a NoSQL database
- 6. Advantages 1. Global distribution We can distribute data to any number of Azure regions, with the click of a button. This enables us to put our data where our users are, ensuring the lowest possible latency to customers. Using Azure Cosmos DB's multi-homing APIs, the app always knows where the nearest region is and will send requests to the nearest data center. 2 Multiple data models and popular APIs for accessing and querying data APIs for the following data models are supported with SDKs available in multiple languages: ■ DocumentDB API ■ MongoDB API ■ Table API ■ Graph (Gremlin) API ■ Additional data models coming soon
- 7. 3 Elastically scale throughput and storage on demand, worldwide ○ Easily scale database throughput at a per second granularity, and change it anytime you want. ○ Scale storage size transparently and automatically to handle any size requirements now and forever. 4 Build highly responsive and mission-critical applications ○ Azure Cosmos DB guarantees end-to-end low latency at the 99th percentile to its customers. ○ For a typical 1 KB item, Cosmos DB guarantees end-to-end latency of reads under 10 ms and indexed writes under 15 ms at the 99th percentile, within the same Azure region. The median latencies are significantly lower (under 5 ms). 5 Ensure "always on" availability ○ 99.99% availability within a single region. ○ Deploy to any number of Azure regions for higher availability. ○ Simulate a failure of one or more regions with zero-data loss guarantees.
- 8. 7 No database schema/index management ○ Stop worrying about keeping your database schema and indexes in-sync with your application’s schema. We're schema-free. ○ Azure Cosmos DB’s database engine is fully schema-agnostic – it automatically indexes all the data it ingests without requiring any schema or indexes and serves blazing fast queries. 8 Low cost of ownership ○ Five to ten times more cost effective than a non-managed solution. ○ Three times cheaper than DynamoDB(No SQL)
- 9. Types ● MongoDB ● DocumentDB ● Table Key ● Graph
- 10. MongoDB/DocumentDB DocumentDb is extended from MongoDB Store data in documents DocumentDB developed by Microsoft MongoDB developed by Mongo db Inc. DocumentDB store data in JSON format while MongoDB store data in BSON
- 11. Table API in Azure Cosmo Db A key-value store, or key-value database, is a data storage paradigm designed for storing, retrieving, and managing associative arrays, a data structure more commonly known today as a dictionary or hash. Dictionaries contain a collection of objects, or records, which in turn have many different fields within them, each containing data. These records are stored and retrieved using a key that uniquely identifies the record, and is used to quickly find the data within the database.
- 12. Gremlin API in Azure Cosmo Db Model the real World Relationship as First Class entity Optimized for graph storage and traversal Gremlin Standard
- 13. Comparision
- 15. MySQL MySQL is the most popular Open Source Relational SQL Database Management System. SLA’s Relational +SQL Data model
- 16. Setup 1>PEM file mysql -h mysql-prashant.mysql.database.azure.com -u mysql-prashant@mysql-prashant -p --ssl-ca=/home/sakshi/Desktop/BaltimoreCyberTrustRoot.crt.pem 2>Connection url="jdbc:mysql://mysql-prashant.mysql.database.azure.com:3306/demo?verifyServerCertificate =true&useSSL=true&requireSSL=false" dbCreate = "create" logSql = false username = "mysql-prashant@mysql-prashant" password = "Fin@default1"
- 18. Demo
- 19. MongoDB MongoDB is a cross-platform, document oriented database that provides, high performance and easy scalability. MongoDB works on concept of collection and document.
- 21. Setup - connection with Azure MongoDB url = "mongodb://cosmos-prashant-mongo:LOwFwijFWi3v3zC2iUP7oF51b0NSWBAMGo dZrRXznwzX2O2kFd3ZOE3u7DGJedpHpG068JyGWMRFjBvVm8jnTg==@cosmos-pr ashant-mongo.documents.azure.com:10255/azure_session?ssl=true&replicaSet=gl obaldb"
- 22. Demo
- 23. Thank You