6:00 PM - 7:00 PM

Cosmos DB is designed out of the box to support both high throughput and high availability, with great features like turnkey Global Replication and Managed Failover. However, for a solution to make the best of these features it’s important to understand how to architect the platform and your applications correctly. This session will discuss how high availability works in Cosmos DB, with a particular focus on geo-replication, and will go deep on how to build applications that can take advantage of this key feature. Speaker: David Poulet - Global Black Belt for NoSQL, Microsoft David is a technical subject matter expert in Big Data and NoSQL advising Microsoft’s largest Cosmos DB customers across EMEA.

6:00 PM - 7:00 PM

Anti-Money Laundering (AML) is a regulation created to combat financial crime (FinCrime). Using Cosmos DB I have built solutions for my customer that help identify customers with known links to FinCrime, Identify Transaction Anomaly and produce AML risk reporting. Host: Jay Gordon Jay Gordon is a Senior Program Manager with Azure Cosmos DB focused on reaching developer communities. Microsoft, Jay was part of teams at DigtialOcean, BuzzFeed and MongoDB. Jay lives in Brooklyn, NY with his wife and a weird dog. Speaker: Arunansu Pattanayak Arun is a Cloud Solution Architect specializing in Azure Data and AI at Microsoft US Financial Services organization. Before joining Microsoft he worked as a Consultant at many large financial institutions, where he built complex enterprise solutions using Big Data, Machine Learning and AI technologies. He is also a well known speaker at major conferences and user groups.

6:00 PM - 7:00 PM

Azure Cosmos DB for PostgreSQL can support relational applications of any size - from the small prototypes to applications at global scale. In this presentation, you will see how to get started with Azure Cosmos DB for PostgreSQL. You will see the considerations around growth, including schema changes. By the end of this session, you should have a good understanding of why Azure Cosmos for PostgreSQL is a good host for your relational data apps at any scale. Host: Jay Gordon Jay Gordon is a Senior Program Manager with Azure Cosmos DB focused on reaching developer communities. Microsoft, Jay was part of teams at DigtialOcean, BuzzFeed and MongoDB. Jay lives in Brooklyn, NY with his wife and a weird dog. Speaker: Sarah Dutkiewicz has been in the technical realm since the late 90s. She has served in many roles – including technical support, manager, desktop support, server administrator, database administrator, developer, instructor, and mentor. Throughout her career, Sarah has found her place in the technical community – as an organizer, speaker, facilitator, author, editor, reviewer, blogger, and advocate. Due to her community involvement, Microsoft has awarded her the Microsoft Most Valuable Professional (MVP) award – 2009-2023 in Visual C# / .NET / Developer Technologies. Sarah loves sharing her passion for tech with the community whenever she can!

5:00 PM - 6:00 PM

When running production applications with Azure Cosmos DB we need to check if the performance, security, and availability is configured in the best way. Your configuration should be adapted to your application specific needs. The default configurations when setting up your database may not be right for your application. In this session we’ll look at how and where to look for when best optimizing Azure Cosmos DB for your applications. In this session we’ll present methodology and some tools you can use to optimize your Azure Cosmos DB deployment. Host: Jay Gordon Guest Speaker: Emmanuel Deletang

5:00 PM - 6:00 PM

Azure Cosmos DB has numerous use cases, including IoT. One of the challenges with IoT workloads, however, is dealing with the deluge of data that IoT devices generate. Processing large volumes of data in real time and storing it in an efficient manner requires careful planning and execution if you want to make an IoT solution fly. In this session, we'll look at a few ways you can do this with Azure Cosmos DB being central to these patterns. Host: Jay Gordon Guest Speaker: Blaze Stewart

5:00 PM - 6:00 PM

In this session, we will go over how Cosmos DB change feed was used as a mechanism to orchestrate a two way SMS communication architecture using Azure Communication Services. We will talk about Cosmos DB change feed's capabilities and how easily they integrate with Azure services. Don't miss this opportunity to learn about one of the most powerful and flexible databases available today! Host: Jay Gordon Guest Speaker: Harpreet Gill

5:00 PM - 6:00 PM

Azure Cosmos DB is a fully managed NoSQL database, offering different APIs and scalable across the globe. You can use it as a document database, where you store many different JSON files for example. But what happens when you need to run large analytical queries on top of your Cosmos DB? If the data is partitioned differently than your query access path, you might end scanning the whole thing? In this session, we will walk you through the concept of the analytical store on Cosmos DB, and how this can work together with the Azure Synapse Link feature of Azure Synapse to enable painless analytics on your data. We will show you how you can use Serverless SQL and Spark Pools to query the data. At the end, you should be able to assess if this solution will be a good match for your use cases.

5:00 PM - 6:00 PM

There are many applications for the Cosmos DB Property Graph model, from business intelligence analytics to combating fraud. Thinking about the data model as a graph and storing and querying it in that format can be very powerful but at the end of the day, a human has to be in the loop to make decisions based on this data. Often, but not always, this comes down to visualization, but frequently, not enough attention is paid to the user experience when looking at large volumes of graph data. Simply plotting a bunch of nodes and links on the screen is more likely to be confusing than enlightening, especially to someone unfamiliar with the graph model. In this talk, I’ll discuss:What types of applications benefit from a visual front end of the graph • When creating a front end for exploring the graph, what techniques should be avoided • Overwhelming the user with too much data • Trying to many properties of the graph data in the visualization • Labeling everything with too much text

5:00 PM - 6:00 PM

In this session we will cover an overview of some of the DevOps practices for Azure Cosmos DB solutions. From provisioning, testing, environment management, CI/CD and automated tasks.

5:00 PM - 6:00 PM

Vector search is a method that helps you find similar items based on their content rather than exact matches on properties like keywords, tags, or other metadata, as keyword-based search systems do. In this session, we will discuss about vector search with Azure AI Vision and Azure Cosmos DB for PostgreSQL. We will explore how to use Azure AI Vision embedding models and enable the pgvector extension, an open-source vector similarity search extension for PostgreSQL. We will then go on to show how to build an image vector similarity search app that can take advantage of these technologies.