This session will talk about how you can combine the serverless power of Azure Functions with the flexibility of Azure Cosmos DB to process large amounts of data and gain real-time insights.
Look beyond the marketing to understand how, when and why you should consider Cosmos DB. Based on real world experience, we'll explain the complexities and gotchas in building realistic cost and performance models.
You can use the Gremlin API offering in Azure Cosmos DB to build highly available graph databases in the cloud that scale! Don't know what a graph db is or where to start? Make sure you attend this session!
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Azure's breadth of products can make technology selection a challenge. Learn how to make pragmatic and informed choices that meet your application's data transformation, processing and storage requirements.
In this session you will learn how to perform analytics on your operational data using the Spark engine that is now built in to Azure Cosmos DB.
Go from beginner to expert with learning new Azure skills and the best material out there
Authentication and security in Azure use a different model. In this session you will learn how that works, and how to make it work for you applications.
Find out how a major UK hotel chain unified their wildly different sources of data to build a supercharged analytics and pricing engine to power their business. Find out how Cosmos and Databricks helped them get to know their customers, how best to retain them, and how best to keep them happy, all while ensuring GDPR compliance and the right to be forgotten.
Do you want to know why customers chose Cosmos DB? Come learn about the business goals and technical challenges faced by real world customers, and learn about key Cosmos DB features so you can help your customers deliver their high-performance business-critical applications on Cosmos DB.
Azure offers a vast comprehensive data estate! While this is great for enabling users to pick the right tools for the right job - this has also increased the surface area for understanding how to integrate a vast number of components. In this session, we will show off the plug and play nature of Azure products by showcasing you can write to Azure Cosmos DB with a data pipeline moving data from multiple sources powered by Azure Data Factory and Databricks.
In this session, we will discuss the strategies and thought process one should adopt for modeling and partition data effectively in Azure Cosmos DB. We will also briefly cover related topics such implementing optimistic concurrency control, transactions with stored procedures, batch operations, and tuning queries + indexing
Are you curious about Azure Cosmos DB? This is the session for you! Join us to find out what it is, how it compares to other database platforms, and what all the hype is about!
Azure Cosmos DB has many use-cases, and not all of them are clear to Azure Cosmos DB newcomers. If you're a relational expert and have been wondering about graph, how you'd survive without a schema, and scale out databases this session can help.
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