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Customers have feelings and by harnessing the power of deep neural networks, we can derive emotional insight from their data and use this to improve. Attendees will leave understanding how to connect different types of data to cognitive services.
See how to analyze images in your Data Lake with Azure Data Lake Analytics, U-SQL and custom models
Azure Machine Learning is a platform for developing and deploying your machine learning models on Azure. We will look at the life cycle of ML projects: from data, to model, to consumption. This will include Automated Machine Learning capabilities.
Join me in this session and learn how to capture a production workload, replay it to your cloud database and compare the performance. I will introduce you to the methodology and the tools to bring your database to the cloud without breaking a sweat.
In this session, we’ll look at the different options within the Cognitive Services suite, show you how to connect to the APIs using Python code, walk through a live bot demo, and build an Azure Cognitive Search index. You should leave this session feeling like you’ve had a jump start to further your AI developer skill set.
This session looks at creating a SQL test lab on your workstation. We start by selecting a hypervisor, look at building a virtual machine and then creating a domain controller, a Windows failover cluster and a couple of SQL Servers.
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.
This session focuses on the deeper integration of SQL Server Integration Services (SSIS) in Azure Data Factory (ADF) and the broad extensibility of Azure-SSIS Integration Runtime (IR).
Power BI Premium and Analysis Services enable you to build comprehensive, enterprise-scale analytic solutions. This session will deep dive into exciting new and upcoming features.
Various topics will be covered such as management of large, complex models, connectivity, programmability, performance, scalability, management of artifacts, source-control integration, and monitoring. Learn how to use Power BI Premium to create semantic models that are reused throughout large, enterprise organizations.
SQL Server provides a wealth of tools in the box to help you spot troublesome queries. We'll explore those and examine how they can best be used.
With SQL 2017 we entered a brave new world with cross-platform SQL Server, and with the new Azure Data Studio, we now have the tools to go with it. In this demo-packed session, learn about the newest tool for SQL Server for Windows, MacOS, and Linux, and how you can use it and extend it for your own needs. Be one of the first to see the new Notebooks feature for SQL Server, which brings the power of Jupyter notebooks to your SQL Server workflow.
A CI/CD pipeline that is not trusted because of it's rate of failure due to unreliability is sometimes worse than no pipeline at all. In this talk we will discuss our experiences of what works and what prevents a reliable deployment process.
Power BI Premium enables you to build comprehensive, enterprise-scale analytic solutions that deliver actionable insights through Microsoft Power BI. The session will focus on performance, scalability, and application lifecycle management (ALM).
SQL Server 2008/R2 is soon reaching end of support. We'll take a look at the migration life cycle and show you how easy it is to migrate SQL Server instances to Azure with near-zero downtime by using the Azure Database Migration Service and related tools. We'll also give you a deep dive how to perform scale migrations using our CLI components
Upgrades should be approached with the same rigor and processes as a full software or hardware project – a solid methodology is required for success. Microsoft provides you with all the tools you need to achieve a seamless, reliable upgrade experience. In this session we demonstrate some of the free tools that Microsoft provides in order to ensure your SQL Server upgrade is a success.
Join this session to learn how managing performance is even more critical with Azure SQL DB. Learn what key performance indicators are most applicable, what auto-tuning really means and get some tools to help you identify and fix issues.
What data profiling is & why you should do it.
This quick vendor session demonstrates the spectrum of SentryOne's best-of-breed products for the Microsoft Data Platform, from Task Factory, to Plan Explorer, to DOC xPress, to the SentryOne monitoring platform, and beyond.
Why do you need anything more than SQL Server? We will discuss what factors influence platform choices, such as data and processing scaling and open source tool chains that include Hive and Spark.  This session will include a quick overview of HDInsight and some of the tools that SQL Developers can use to interact with it, as well as some best practices and gotchas. There will be a short demo on some of the tool choices.
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