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One of the last technical challenges of cloud adoption is right security configuration. This session focuses on Azure Sql PaaS, covers governance, risk management and compliance and provides 8-step process for securing public cloud.
A technical overview of Azure SQL Data Warehouse Gen 2. SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that leverages Massively Parallel Processing (MPP) to quickly run complex queries across petabytes of data.
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.
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.
Managed Instances can make your cloud migrations simpler, but have their own nuances. Learn about what you need to know to manage this new platform.
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.
This session presents how to migrate, replicate, and synchronize data between SQL Server, SQL VM, Azure SQL Database, and Azure SQL Database Managed Instance, across on-premises, Microsoft Azure, and other cloud platforms to build a real hybrid data platform. We introduce our current technology choices, deep dive in customer scenarios, and use cases, and share product roadmap.
Azure offers a wide range of services that can be combined into a BI solution in the cloud.
Paginated reports (SSRS), are available in both on-premises and cloud-based solutions. Join this session to experience the journey of SSRS and how to create and deploy reports across all the different products available in the Microsoft Ecosystem.
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).
In this session I will show you how to apply DevOps practices to speed up your development cycle and ensure that you have robust deployable models. We will focus on the Azure cloud platform in particular, however this is applicable to other platforms
Hybrid data landscapes are common and the on-premises data gateway enables connecting to your on-premises data sources from online services (like Power BI, PowerApps, Microsoft Flow and Logic Apps) without the need to move your data to the cloud. Come to this session to see the latest gateway features and best practices related to setup and configuration along with troubleshooting tips and tricks, investigate bottlenecks and resolve your common gateway errors.
Many organisations using Power BI seek the Nirvana of self-serve and enterprise reporting, but are left with an unstructured governance strategy. This session simplifies the governance process, by utilising Microsoft Flow and Power BI together.
Step back through the ages and explore how database teams have approached creating environments for dev and test. Learn how, in the new age of provisioning, databases are delivered safer, faster, and more efficiently
In this session you'll learn how Hyperscale removes limits for cloud based VLDBs.  We'll demonstrate how to create, migrate, and do point in time restore of very large databases in Azure.
Moving to the cloud means that we need to take a different approach when it comes to how we design and tune databases. Managed Instance included, get the storage configuration wrong and it will not perform. We'll look at the storage options and architecture for Managed Instance before demonstrating how to get tune the storage layer to get the performance we need
In this session, you will learn about the architectural details of Managed Instance, the available features, and the best ways to configure it and migrate your databases to Managed Instance.
SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that leverages Massively Parallel Processing (MPP) to quickly run complex queries across petabytes of data. Azure Databricks is a fast, easy and collaborative Apache Spark-based analytics service that can be used for big data analytics and artificial intelligence (AI) solutions. This session will cover the architecture patterns for using the two in synergy.
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
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.
PowerShell loves Power BI. In this session we will take a look at how to manage your datasets, security, monitor licensing and more, all through the ultimate administration interface: PowerShell!
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.
Learn about how to future-proof your modern data warehousing environment to meet the needs of the business for the long term; as well as how to overcome common data warehousing challenges, the related must-have technology solution.
You want to use all the new and sexy cloud based data services like PowerBI, Flow and hosted SSAS, but your data remains strictly on premise. Come along to see how to use the data gateway to connect Azure to your on-premise data.
Come learn about all the new innovations, features and deployment options available when using Azure SQL Database.
Should you run SQL Server on physical machines, virtualised, in the cloud or do you run it on Docker? It may sound crazy to run your data tier in ephemeral containers, but I'll discuss the reasons why this might be a good idea.
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