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.
This talk will address how to add the unit testing framework tSQLt to the database deployment pipeline. The purpose is to reduce the cost of validate every change in the database with a fully automated pipeline.
We introduce the concept of aggregation, we show several examples of their usage understanding the advantages and the limitations of aggregations, with the goal of building a solid understanding on how and when to use the feature in data models.
This session will take a look at better Unicode support, query processing improvements for row store tables, secure enclaves, and other neat things you'll find useful as a modern database administrator or developer.
A walk-through on what is possible analyzing your data with the "R" language.
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.
Do you want to know why customers chose Cosmos DB? Come learn about the business goals and technical challenges faced by real world customers, and learn about key Cosmos DB features so you can help your customers deliver their high-performance business-critical applications on Cosmos DB.
We will review this new feature of ADFv2, do deep dive to understand the mentioned techniques, compare them to SSIS and/or T-SQL and learn how modelled data flow runs Scala behind the scenes.
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.
Learn in 75 Minutes what Batch Execution Mode is, when & how it will affect your workloads (in upcoming SQL Server 2019 & Azure SQLDB) on the traditional Rowstore Indexes.
Look inside Query Store to see what it does and how it works
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.
Biml is not just for generating SSIS packages! Come and see how you can use Biml to save time and speed up other Data Warehouse development tasks like T-SQL development, test data creation, and dimension population.
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.
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.
Learn how to troubleshoot AGs ad FCIs.
If you have already mastered the basics of Azure Data Factory (ADF) and are now looking to advance your knowledge of the tool this is the session for you.
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.
Data lakes have been around for several years and there is still much hype and hyperbole surrounding their use. This session covers the basic design patterns and architectural principles.
Join the Microsoft Data Platform Product group, from engineers to data scientists and lean about the data platform evolution, and the skills you need to know to stay current. Full of demos and information, this fast-moving story will get you ready for another SQLBits conference
The FILTER function does not create a new filter context but a row context. The ROW function is executed in a filter context without creating a row context. To demystify this and all the other DAX Gotchas that I bumped into is the goal of my session.
In this session, we will explore real world DAX and Model performance scenario's. These scenarios range from memory pressure to high CPU load. Watch as we will dive into the model and improve performance by going through concrete examples.
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
Clarify differences between many-to-many and weak relationships in Power BI
Using Azure DevOps and Azure RM templates to created isolated environments for testing PaaS solutions.
Monitoring for Power BI is one of the things that tends to be an afterthought. Apart from some standard reports, there's nothing that actually has an impact or helps you drive automation one step further. This session shows you the way.
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.
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.
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
If you've been using Extended Events the same way you used to use Trace, you might be wondering if there's more to it. There is! In this session we will explore what else you can do with XE besides capture long-running queries.
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.
SQL Server 2019 includes new query processing features such as batch mode on rowstore, memory grant feedback, approximate query processing, and more. How do these work? Are they as good as Microsoft wants us to believe?
An end-to-end solution covering many Azure features
During this all-demo session, we will dig deep into some of the most captivating, but less publicized features of the desktop.
Real-time decisions enabled by massively scalable distributed event driven systems with embedded analytics are re-shaping our digital landscapes. But how do you know which technology to choose? We'll cover the fundamentals of streaming systems, how and why they can deliver value to your business, and a look at options for streaming analytics in Azure
Start your database off right so you can scale when you need to
Graph databases – Origins, how they work, strengths and weaknesses
If you never have errors in your SSIS packages, then you don't need to attend this session. But if you want your packages to be reliable and safe, and to handle errors appropriately, then this session is for you.
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.
The session will uncover the In-Memory OLTP architecture, the concerns about data durability and database startup and recovery as well as some important consideration on Management of in-memory objects.
Indexing presents daunting challenges for even the most seasoned professionals, it offers countless options to choose from. With a little help you’ll see how to simplify indexing in your environment & improve the overall performance of your apps
Come learn all the new capabilities of SQL Server 2019 directly from the Microsoft engineering team. This session will provide the strategy behind SQL Server 2019 as well as a deep dive into all the new features and how they can help you modernize your data estate with SQL Server.
SQL Server 2019 expands on the Polybase feature from SQL Server 2019 by providing a robust data virtualization solution to reduce the need for ETL and data movement. Come learn how new data connectors work with sources like Oracle, MongoDB, CosmosDB, Terradata, and HDFS.
Containers are the new virtual machines. They present a new way to deploy, manage, and run SQL Server never possible before. This session will present an internal view of how Docker containers work, how SQL Server runs in them, and how they work in environments such as Kubernetes
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.
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