Spark is known for its high-performance analytical engine. Azure Databricks Runtime, a component of Azure Databricks, incorporates tuning and optimizations refined by the creators of Spark to run Spark processes, in many cases, ten times faster. Learn how Azure Databricks Runtime can save your organization money by performing analytics faster.
Presented by: Marc Lobree
Take a first-hand look at the Azure SQL Database intelligent security offering. In this session, you'll get an overview of how to secure your data in Azure SQL Database. The session covers our latest advanced and intelligent security features, including Transparent Database Encryption with Bring Your Own Keys support, Always Encrypted, universal, multi-factor authentication, Vulnerability Assessment and Threat Detection, including important concepts and demos.
Presented by: Jacob Szymaszek
Work with and manage Visual Studio Team Services and Team Foundation Server from a command line on Windows, Linux, or Mac. With the new open-source Visual Studio Team Services CLI, you can manage pull requests, builds, work items, and more, directly from a command prompt. You can also create scripted interactions by using your favorite scripting languages, like Bash and PowerShell.
Presented by: Will Smythe
Learn how to build your own custom machine learning models, and then train and experiment by using Azure Machine Learning. We show you how to deploy the model to an iPhone.
Presented by: Anusua Trivedi
Azure Databricks, a fast, easy and collaborative Apache® Spark™ based analytics platform optimized for Azure. Designed in collaboration with the founders of Apache Spark, Azure Databricks combines the best of Databricks and Azure to help customers accelerate innovation with one-click setup; streamlined workflows and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts. As an Azure service, customers automatically benefit native integration with other Azure services such as Power BI, SQL Data Warehouse, Cosmos DB as well as from enterprise-grade Azure security, including Active Directory integration, compliance, and enterprise-grade SLAs.
Learn how to integrate Application Insights, so you can monitor apps across your entire DevOps workflow in Visual Studio and Visual Studio Team Services.
Presented by: Mike Gresley
Bring intelligence to the edge by creating, training, and operationalizing models as Docker containers by using Azure Machine Learning. The containers can then be deployed to IoT Edge devices. In this session, we provide a scenario about the importance of edge intelligence, and an overview of Azure ML and Azure IoT Edge. Then we demonstrate how to use Azure ML to create a model and run it on an IoT Edge device.
Presented by: Ted Way
In this session, we'll explore the recently added versioning and revisions capability of Azure API Management, and how API publishers can now change their APIs in a safe, controlled fashion. Updating and expanding your APIs no longer means that you need to break the apps that call them.
Presented by: Matthew Farmer
Data is being created at an exponential rate and the vast majority of this content sits in unstructured formats such as PDF's, Office documents, Emails and Images. In this session we will discuss some of the challenges unstructured data presents and will show how Microsoft Cognitive Services and Azure Search can help you navigate it, understand it and allow you to extract insight from unstructured text.
Presented by: Liam Cavanagh
This video showcases what you can do with up to $150 monthly Azure credit that’s included in your Visual Studio subscription or Dev Essentials membership. Follow along to build a chatbot from scratch in just a couple of minutes—using nothing but your monthly credit.
Presented by: Ayush Jain
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