The document discusses new features of Azure Cosmos DB, a multi-model database service. It begins with an introduction to NoSQL databases and how they originated. It then outlines three new key features of Cosmos DB: 1) serverless capabilities that allow customers to pay based on consumption, 2) built-in Jupyter notebooks for interactive querying and visualization, and 3) integration of notebooks with GitHub. The document concludes with a demo of how these features can be used together with other Azure services like Cognitive Search, Computer Vision, and Functions.
5. AGENDA • Where NoSQL comes from?
• The database landscape
• Azure Cosmos DB: Value prop
• Three new key features
• DEMO
• Additional Updates
• What’s coming next
• Q&A
7. Where does NoSQL come from?
o Abandonment of scale-up solutions
o CAP Theorem
o Eventual Consistency (the ‘A’)
o Open Source push
o Dynamic & expressive data model
Amazon had a great impact on the shaping of NoSQL.
Can you guess why?
8. Horses for Courses
OLTP
Data Warehousing
HDInsight
Schema-Bound
Seek-Centric / High Concurrency
Scan-Centric / Low Concurrency
Schemaless
Distributed Data Processing
NoSQL
9. Enter Azure CosmosDB!
Develop modern apps with SLA-backed speed and availability, automatic and instant
scalability, and open source APIs for many NoSQL engines