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8 Steps to Securing Azure Sql PaaS Jan Rokicki
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.
Adding unit tests to the database deployment pipeline Eduardo Piairo
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.
Aggregations in Power BI Alberto Ferrari
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.
An overview of SQL Server 2019 for the busy DBA / developer Randolph West
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.
An R primer for SQL folks Thomas Hütter
A walk-through on what is possible analyzing your data with the "R" language.
Azure Cosmos DB and Databricks for CRM Optimization Simon Hayward
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 Cosmos DB Use Cases and Customer Stories Blesson John
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.
Azure Data Factory v2 with Data Flows capabilities Kamil Nowinski
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: Applying Software Engineering to ML Amy Boyd
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.
Azure Managed Instances—Your Bridge to the Cloud Joey D'Antoni
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.
Batch Execution Mode on the Rowstore Niko Neugebauer
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.
Behind the Query Store… Kalen Delaney
Look inside Query Store to see what it does and how it works
Benchmarking in the Cloud Gianluca Sartori
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 Tips and Tricks: Not just for SSIS packages! Cathrine Wilhelmsen
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.
Build hybrid data platform with Azure SQL Database and SQL Server Microsoft
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.
Build your next BI solution in Azure Alexander Klein
Azure offers a wide range of services that can be combined into a BI solution in the cloud.
Cognitive Services, Bots, and Search: Dev Tools for AI Christina E. Leo
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.
Common Troubleshooting Techniques for AGs and FCIs Allan Hirt
Learn how to troubleshoot AGs ad FCIs.
Complex Azure Orchestration w Dynamic Data Factory Pipelines Paul Andrew
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.
Data Integration with Azure Cosmos DB, Data Factory and Databricks Neil M
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 Lake Design Patterns Jason Horner
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.
Data Never Rests Microsoft
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
DAX Gotchas Chris Woolderink
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.
Debugging common DAX and Model performance issues Kasper de Jonge
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.
Deeper Integration and New Transformation for SSIS in ADF Sandy Winarko
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).
Deploy ML models faster with Data Science DevOps Terry McCann
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
Different types of many-to-many relationships in Power BI Marco Russo
Clarify differences between many-to-many and weak relationships in Power BI
Disposable Dev environments with Azure DevOps and AzureRM Gavin Campbell
Using Azure DevOps and Azure RM templates to created isolated environments for testing PaaS solutions.
Driving Power BI automation through monitoring Jan Mulkens
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.
Enable Hybrid Data access with the On-premises Data Gateway Patrick LeBlanc
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.
Enhance Self-Service Power BI with Microsoft Flow Callum Green
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.
Enterprise BI with Power BI Premium and SSAS (part 1) Christian Wade
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.
Enterprise BI with Power BI Premium and SSAS (part 2) Christian Wade
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.
Environment Provisioning: The Third Age Richard Macaskill
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
Extending your use of Extended Events Erin Stellato
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.
Find and Fix those Troublesome Queries Allen White
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.
From adaptive to intelligent: query procesing in SQL 2019 Hugo Kornelis
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?
From Raspberry Pi to Power BI and lots in between Ben Watt
An end-to-end solution covering many Azure features
Getting Intimate with the Power BI Desktop Patrick LeBlanc
During this all-demo session, we will dig deep into some of the most captivating, but less publicized features of the desktop.
Getting started with real-time analytics with Kafka and Spark in Microsoft Azure Joe Plumb
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
Getting your Database off to a Right Start Andrew J. Kelly
Start your database off right so you can scale when you need to
Graph databases - What, how and why Mark Whitehorn
Graph databases – Origins, how they work, strengths and weaknesses
How to Make Sure Your SSIS Packages Will Never Fail Guy Glantser
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.
Hyperscale for Azure SQL DB Kevin Farlee
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.
Identify opportunities for In-Memory OLTP Margarita Naumova
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.
Improving SQL Server Performance with Indexing Richard Douglas
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
Inside SQL Server 2019 Bob Ward
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.
Inside SQL Server 2019 Polybase Bob Ward
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.
Inside SQL Server Containers Bob Ward
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
Introducing Azure Data Studio Vicky Harp
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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