In this session you'll learn some of the key data privacy problems facing database developers and DBAs and 10 steps to help your database team build a "defensible position" through development.
Data on its own is useful, but boring. Data in story form makes people sit up and take notice. Learn to craft effective stories and maximise the impact of your data communication.
How do you test your data projects? Do you even test? Let's face the truth that data processing solutions are very rarely tested ... So let's start with fundamentals of (not only data warehouse) testing.
In this session, we'll cover the 10 most common tasks a DBA needs to learn to manage in Azure SQL as well as they currently manage their On Prem installs.
Isn't it awkward when someone asks you, "So, where do you see yourself 5 years from now?" Brent Ozar will share how he analyzed the data job market to build his career path.
We're fortunate in seeing tons of customers migrate to the cloud - this session covers major
If you want to work for yourself, you need to be able to sell yourself. I know, I hate it too - it feels gross when I write it that way. I'm Brent Ozar. You recognize my name, that's why you wanna learn this from me.
A distributed availability group is not your mother's availability group. Want to know more? Attend this session.
In this session you’ll learn about some of these advanced analytical features in Power BI, including: the Analytics pane on visuals; the Key Influencers visual and other AI features.
You are a developer and you want to leverage the 'Power' features in Azure DevOps via YAML pipeline as code, then this session is for you !
Join this session to learn about new and upcoming SQL security features and how they are supported in hybrid environments.
Users of Plan Explorer often only utilize the basic capabilities to tune execution plans. This session will cover more advanced techniques to get the most out of SentryOne's FREE execution plan analysis tool.
Curious about Visual Recognition and Object Detection in Azure? Are you wondering what the difference is between the Computer Vision API and the Custom Vision API? Get up Speed with the Vision API in less than an hour!
That session explains how to put AI algorithms on Edge devices, with feedbacks from a computer vision project
Let's learn about what Always Encrypted is, how it works, and the implications for your environment. By the end you will know how to now easily encrypt columns of data and just as importantly how to unencrypt.
Azure Synapse Analytics combines the power of Data Lakes with Data Warehouses, empowering the organizations to build Big Data, Advanced Analytics and Business Intelligence in one single platform.
Continuous Integration and Delivery can be a pickle for Analysis Services Tabular Models when using the standard tools. With Azure DevOps, GIT and Tabular Editor, there's a better way...
In this session, you'll learn about an end-to-end scenario that takes customers through the application migration process, and how that relates to the data migration.
When buzzwords like DevOps and Machine Learning collide, you need a demo and talk that shows how to actually increase the delivery speed of Advanced Analytics solutions.
The most challenging area of machine learning are Data acquisition, Feature extraction, Feature Selection. Almost in all data science project, 80% of time people spend in Data acquisition and Feature engineering.
Automated Machine Learning, "1 button data science", has been with us for a while. As always there's fans and detractors. We'll discuss when and why you'd use AutoML and when it's better to avoid it.
Learn how to configure source control and use Azure Key Vault to implement Continuous Integration and Continuous Delivery (CI/CD) for Azure Data Factory solutions using Azure DevOps pipelines.
Join us for this session to learn about using serverless in SQL Database and save cost while achieving the desired performance.
AI and data is at the center of the digital feedback loops. We have invested in a comprehensive portfolio of AI tools, infrastructure and services. Come to this session to get an update of Azure AI with demos.
Learn the tools and techniques you can use to create governance and insights around your Azure spend
Data lakes have been around for years yet there is still much hype and hyperbole surrounding their use. This session goes beyond corny puns and broken metaphors and instead provides real-world guidance.
In this session you’ll learn more about Azure data services on Azure Arc
In this action-packed demo full session, we will be showing you how to combine Azure DW and Power BI to get optimal performance for running your day to day reports.
This session will talk about how you can combine the serverless power of Azure Functions with the flexibility of Azure Cosmos DB to process large amounts of data and gain real-time insights.
Azure Key Vault, Azure Dev Ops and Data Factory how do these Azure Services work perfectly together!
How do you deploy multiple machine learning models in production to solve your challenge? How do enable canary releases and A/B testing? How do you make sure a user is always served by the same version of the model?
Understand how to create, train and operationalize your data science projects in Azure Machine Learning.
We will deep dive into the architecture of Hyperscale and its various components. We will dive into scaling aspects and the new application patterns it enables and also diagnostics that enable bottleneck identification.
Learn all about Azure Synapse Analytics, including demos so you can see exactly how it works and how it can make your life easier.
In this session we explore Azure Synapse Analytics, we will dive into this limitless analytics service and explore how it brings together enterprise data warehousing and Big Data analytics.
Get an all-up Synapse platform overview, it’s way more than SQL DW. You’ll see demos with real-world scenarios, and you’ll learn the end-to-end; how to ingest, prepare, analyse, engineer and visualise data with Synapse.
Learn what the Database Experimentation Advisor is and how you can start using it to baseline performance from a target and source server when new changes are introduced.
Come learn how Azure Synapse brings together big data and data warehousing through new technology and a unified development experience
Come learn how to use .NET and Spark together in Azure Synapse and elsewhere to cook and analyze your data!
Come learn how to build enterprise-scale analytics platforms and fully harness the power of Apache Spark with Azure Databricks
If AI is on the cards in your business you might need to make a recommendation as to whether your company should Buy or Build. Come to this session to work out the moving parts to turn "It Depends!" into an answer.
How does a Modern Enterprise BI Architecture with Power BI, SQL Server, Hadoop and Azure look like? Visit my talk and I will show you how we at InnoGames put all these components together to simply make better decisions.
In this session we'll focus on the benefits of using Azure Data Lake. We will cover how we use ADLS in real projects to produce a security architecture which is adaptable, scalable and provides monitoring capabilities.
Learn how to use parameters, variables, expressions, functions, lookups, and loops to build a dynamic and reusable Azure Data Factory solution.
A client's case on how to build a robust metadata driven datahub by utilizing Databricks (Delta Lake) for data ingestion, validation, and loading
Azure Synapse Analytics combines the power of Data Lakes with Data Warehouses, empowering the organizations to build Big Data, Advanced Analytics and Business Intelligence in one single platform.
Building real-time big data analytics solutions with Azure Data Explorer and Azure Stream Analytics - Come learn about the latest that Azure has to offer in real-time analytics
This session will cover how to create flexible, reliable, and scalable ETL and ELT pipelines across Azure using Azure Data Factory
Columnstore Indexes were launched in SQL Server 2012 and greatly enhanced in 2014 & 2016 - but if you thought that Microsoft was done with them - you are missing a lot of important improvements that were added.
We will see how to construct a cloud-first architecture based on serverless data analytics. We will look at specific challenges and cost saving strategies, to produce a reliable, scalable and cost effective solution!
<<1234>>