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.
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 !
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.
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.
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
Azure Data Factory is a cloud native ETL service built for all data integration needs and skill levels. You can easily construct ETL and ELT processes code free or write your own code.
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.
Learn how and where to use Azure Functions in cloud-based ETL processes
Azure Key Vault, Azure Dev Ops and Data Factory how do these Azure Services work perfectly together!
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.
In this demo intensive session I will show you how to tackle the most challenging tasks with Extended Events without writing a single line of code.
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.
Azure boards within Azure DevOps give you the capability to organise your project and analyse the it’s progress. Do you want your manager to stop bugging you about your project’s progress, come to this session?
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 you can convert you data into structured formats, apply machine learning skills and index it to make it easy to find information and relationships that can save you time and money.
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.
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
How to code everything in SSRS with PowerShell.
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!
Common Data Model as the foundation of Power BI Dataflows and as part of the Open Data Initiative with SAP and Adobe, seems to be a pretty good move from Microsoft. We want to take a closer look to this approach
Taken from the 20+ years of field experiences, many common statistical and data science mistakes have been detected. Session will tackle couple of them.
A Q&A panel session with Andrew Pruski and Anthony Nocentino talking about all things containers! Hosted by Rob Sewell
This session will take you through the steps required to build an automated solution to create an Azure SQL Database with a Service Principal and create users and apply permissions
This presentation is about how to create custom visuals (components) for your PowerBI reports. Power BI reporting features could be extended with custom components, that developers can implement.
Learn how Azure supports interactive, exploratory notebooks (e.g. Jupyter) for data processing and experimentation across a range of scales from simple single-computer work up to massively parallel Databricks clusters.
Learn to make better analytic solutions by following current thoughts on data modeling.
In this session we will merge practice and theory, analyzing what is data virtualization and data lake, what their benefits and how to implement them using SQL Server 2019 Big Data Cluster
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