Power Platform Dataflows allow business users and Data Professionals to easily define composable ETL pipelines (Dataflows) to extract, transform, combine, enrich and map data from a wide range of data sources to CDM target schemas, using technologies and experiences that are familiar to these users, such as Power Query and the On-premises data gateway. In this session, we’ll go over tips & tricks and several demos to show you how to make the most out of these capabilities.
Come to this session to learn how to enable collaboration and solution design for business users and IT specialists to build solutions that enable an organization to harness the power of their big data. This session will enable you to collaborate across business and IT, and show how we can extend intelligence beyond Power BI into Azure Data Services. Once Power BI has landed in an organization, attaching and extending into Azure can be achieved using common use cases and modernization plays.
Azure provides a rich platform for developers to build modern applications. Some applications, however, face obstacles: latency, intermittent connectivity, and regulation being primary examples. Azure Stack provides a way to build modern applications in on-premises environments. With a consistent cloud platform, you make technology decisions based on business requirements, rather than business decisions based on technology complications. Join Ricardo Mendes to learn how to design and architect hybrid cloud applications.
Azure SQL Database provides a fully managed instance deployment model that enables friction-free migration for SQL Server applications running on-premises. It lets you focus on your business without having to worry about infrastructure management or operations or end of life. Learn how to easily build data ingestion using SSIS and ADF, app modernization using new database engine and security capabilities in the service and finally build near real-time analytics and visualization using Power BI and scaling this out to read replicas of instance. Come and learn how to start your cloud modernization at scale now, using Azure SQL Database Managed Instance, and how to create a hybrid topology with on-premises and cloud database services.
Come learn how to apply AI to understand your business documents. Cognitive search allows you to apply AI (Cognitive Skills) to your data to extract entities and relationships from your unstructured documents, turning them into your private knowledge store. In this session, you'll learn how to deploy a cognitive search solution on your data, including customer testimonies and demos. We will also introduce the new Knowledge Store that is now part of Cognitive Search, and explore new features and capabilities (complex type, storage-optimized SKU, etc.).
By itself, Kubernetes is not necessarily a developer-friendly platform. Building, deploying, and testing microservice-oriented applications involves a lot of manual work and copious amounts of YAML. Thankfully, Azure has the tools you need and makes Kubernetes approachable and productive for developers. In this session, we’ll cover how to design and build microservice applications that can run on the Azure Kubernetes Service, including how to navigate from an app to a container to a Helm package and how to deploy into Kubernetes in a continuous way using Azure DevOps. We’ll also cover how you can use Azure Dev Spaces to develop an app that includes a couple of microservices to one which includes dozens or hundreds.
It’s simple to build and deploy an app to a prototype IoT device in your lab, but what happens when you scale to thousands or even millions of devices? In this video, Galen Hunt describes how to build production quality IoT devices that handle the challenges of security and scale with Azure Sphere. Learn how to find the Azure Sphere module that matches your use case, develop IoT apps quickly, connect to the cloud in minutes, and push over the air updates to thousands of devices scattered across the world.
Azure SQL Database and Managed Instances allows you build globally scalable applications with extremely low latency. Azure SQL Database is the best cloud database offering in market. In this session, we will take a detailed look at the migration life cycle and show you how we have made it easy to migrate SQL Server instances to Azure with near-zero downtime by using the Azure Database Migration Service and related tools. We will also cover most commonly seen migration blocking scenarios and demonstrate how our service can unblock your migration to Azure SQL Databases.
Building serverless apps usually come with concerns around cold start, vendor lock-in, FaaS limitations, app security and more. We are releasing exciting new capabilities in Azure Functions to address these gaps and other concerns we heard from the enterprise customers. The session will focus on our latest innovations such as event-driven containers, stateful functions, enhanced automation capabilities, network isolation and more, that enable developers to build mission critical apps.
MLOps is DevOps for machine learning and brings continuous integration, delivery and learning to the machine learning lifecycle. This session will show you how to get to market faster with better models, and operationalize more reliably with greater governance. See a real-world fraud detection scenario where online retailers used MLOps to track and identify model production, efficiently validate models and determine best practices. Learn how to store and version models, collect continuous feedback on model behavior. Maintain quality models to keep your business and customers ahead.