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"Stop that!": What does compliance mean for development? Christopher Unwin
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.
"Whats in a Name?", Data Stories to Impress the Bard James McGillivray
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.
10 DBA Tasks for Azure SQL: Whats Different from On-Prem Rie Irish
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.
10 reasons to look at using Azure Data Studio Robert French
Yet another new tool from Microsoft ! Why should you consider using it? Thats a good question. In this session we will explore at least 10 reasons to use the tool, and maybe a few more.
300-Level Guide to Career Internals: Planning Your Career Brent Ozar
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.
5 Mistakes in Cloud Data Migration Justin Langford
We're fortunate in seeing tons of customers migrate to the cloud - this session covers major
500-Level Guide to Career Internals: Building a Brand Brent Ozar
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 Groups Primer Allan Hirt
A distributed availability group is not your mother's availability group. Want to know more? Attend this session.
A journey through the Tidyverse Thomas Hütter
An introduction to the philosophy of tidy data and the collection of R packages called Tidyverse that help to treat your data appropriately. Including lots of demos from ingesting to cleaning to visualizing your data.
A Python primer for DBAs, how to talk to a SQL Server Andre Kamman
Tinkered with Powershell but not with Python yet? Let's get you started, and we'll do that with some practical examples focussed around talking to SQL Server and importing and exporting some data.
Advanced analytics features in Power BI Chris Webb
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.
Advanced Azure DevOps With Containers and Pipeline As Code Chris Adkin
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 !
Advanced Plan Explorer Usage for Tuning Execution Plans Andy Yun
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.
AI For Good: Cognitive Services Vision Alicia Moniz
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!
AI on Edge, encounter between Data Science and IoT Jean-Pierre Riehl
That session explains how to put AI algorithms on Edge devices, with feedbacks from a computer vision project
The video is not available to view online.
Always Encrypted for Beginners Monica Rathbun
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.
An administrators guide to SQL Server 2019 BDC Buck Woody
Join this session if you are interested in the administration scenarios of the big data clusters, including tooling for monitoring, how to deploy and secure the environment, and to learn about the latest improvements.
An introduction to Azure Synapse Analytics! Mahesh Balija
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.
Analysis Services DevOps with Tabular Editor Daniel Otykier
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...
Analyzing database with XE and Query Store data using R / Py Tomaz Kastrun
DBA and Data scientists should work together! Analyzing data gathered with XE and Query Store data using R or Python for better database insight and discovering hidden patterns.
The video is not available to view online.
App Modernization & Migration using migr tools & Azure SQL Raj Pochiraju
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.
Art of Feature Engineering- For Machine Learning Sandip Pani
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.
Artificial Intelligence, Machine Learning and Deep Learning Buck Woody
What is the difference between Artificial Intelligence, Machine Learning and Deep Learning and how can each be used? Join Buck Woody cover simple, clear explanations for these technologies, how they can be applied.
Azure AI, Power new possibilities for every organization Lindsey Allen
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.
Azure Cost Management Dustin Dorsey
Learn the tools and techniques you can use to create governance and insights around your Azure spend
Azure Data Factory patterns and best practices Shirley Wang
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.
Azure Data Lake Design Patterns Jason Horner
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.
The video is not available to view online.
Azure data services on Azure Arc Umachandar Jayachandran
In this session you’ll learn more about Azure data services on Azure Arc
Azure Data Studio Features in 20 Minutes Vicky Harp
How many features of Azure Data Studio can the team blaze through in 20 minutes? We'll find out in this fast paced, lightning-talk style demo session that will touch oh-so-briefly on as many features as possible.
Azure DW and Power BI, reporting at the speed of light! Stijn Wynants
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.
Azure Functions for Cloud-based ETL processes Benjamin Kettner
Learn how and where to use Azure Functions in cloud-based ETL processes
Azure Key Vault, Azure Dev Ops and Data Factory Erwin de Kreuk
Azure Key Vault, Azure Dev Ops and Data Factory how do these Azure Services work perfectly together!
Azure Machine Learning and the Python SDK Robin Lester
Understand how to create, train and operationalize your data science projects in Azure Machine Learning.
Azure SQL and SQL Server: Path to an Intelligent Database Pedro Lopes
Come join us in the intelligent database world that started with SQL Server 2017 and takes a leap forward with the upcoming SQL Server 2019 and Azure SQL DB.
Azure SQL Database Edge-Optimized SQL Engine for Edge/IoT Sourabh Agarwal
Azure SQL Database Edge has taken the same SQL database engine you know and optimized it for the Edge. This session explores popular customer implementations, along with new product features for the Intelligent Edge
Azure SQL Hyperscale Deep Dive Denzil Ribeiro
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.
Azure SQL: What to use when Anna Hoffman
Learn what to use when for various flavors of Azure SQL
Azure Synapse Analytics James Serra
Learn all about Azure Synapse Analytics, including demos so you can see exactly how it works and how it can make your life easier.
Azure Synapse Analytics: Evolving Azure SQL Data Warehouse Mark Pryce-Maher
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.
Azure: Maxmise your bang for Buck Justin Langford
Considerations in how you buy Azure to provide maximum bang for buck
Baking Extended Events recipes without breaking a sweat Gianluca Sartori
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.
Baselining Performance with DEA Dustin Dorsey
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.
Battle tested project planning with Azure Devops boards Kevin Chant
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?
Big Data & Data W'housing Together w/ Azure Synapse Analytic Michael Rys
Come learn how Azure Synapse brings together big data and data warehousing through new technology and a unified development experience
Big Data Processing with .NET and Spark Michael Rys
Come learn how to use .NET and Spark together in Azure Synapse and elsewhere to cook and analyze your data!
Build Killer Knowledge Mining Apps with Cognitive Search Luis Cabrera-Cordon
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.
Build or buy AI? Steph Locke
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.
Building a Better Backup Strategy Paul Randal
Learn how backup and restore work and how to put together an effective backup strategy.
Building a Modern Enterprise BI in a Mobile Games Company Raúl Jiménez Aguilera
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.
Building a secure data solution using Azure Data Lake Carmel Eve
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.
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