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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.
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 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 !
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!
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 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.
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 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 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 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 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.
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 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.
Building Modern Data Warehouse with 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.
Building real-time big data analytics solutions Krishna Mamidipaka
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
Can SQL Server 2019 auto-magically fix my bad T-SQL code? Andy Yun
Come to this session to see how SQL Server 2019 mitigates two common performance killers: scalar functions and table variables!
Code Your Report Environment Frank Geisler
How to code everything in SSRS with PowerShell.
Combatting illegal fishing with Azure for less than £10/mth Carmel Eve
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!
Coming Soon: Upcoming SQL Tools Features Vicky Harp
In this demo-heavy session, the PM and engineering team will share some of the very latest tools functionality, along with sneak peaks of upcoming features and prototypes for the SQL Server tool suite.
Common Data Model-Our new buddy for Data Governance Oliver Engels
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
Container questions that Andrew and Anthony DM each other Andrew Pruski
A Q&A panel session with Andrew Pruski and Anthony Nocentino talking about all things containers! Hosted by Rob Sewell
Creating Custom Visuals in Power BI with TypeScript and D3.j Mihail Mateev
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.
Data Exploration & Experimentation with Notebooks in Azure Ian Griffiths
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.
Data Virtualization and Data Lake using SQL Big Data Cluster (part 1) Dennes Torres
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
Database CI/CD with Docker Containers and Azure DevOps Chris Taylor
In this demo heavy session we will show how Containers and Kubernetes, along with Azure DevOps can work for your CI/CD pipeline.
Database modernization best practices & learnings Mukesh Kumar
In this session you’ll learn the real-world ins and outs of how we successfully migrated customers to Azure data platform.
Databricks, Delta Lake and You Simon Whiteley
Databricks, Lakes & Parquet are a match made in heaven, but explode with extra power when using Delta Lake. This session will dive into the details of how Databricks Delta works and how to make the most of it.
DAX as Dance-Contexts Explained Barney Lawrence
Dance your way to an understanding row and filter contexts in DAX.
Deep dive into Tabular Editor's scripting engine Daniel Otykier
If you're not afraid of a little bit of C# and LINQ, Tabular Editor can take your productivity to a whole new level. This session will teach you how to use Tabular Editor's scripting and Best Practice Analyzer features.
Deep Dive into the Common Data Model José Mendes
Deep dive into the Common Data Model world and learn how to deploy, extend and use it along with other Microsoft technologies like Power Apps, Power BI Dataflows and Azure Databricks.
Democratizing Machine Learning on the SQL Platform Michelle Wallig
Come and join us this session to unleash the power from your data as we introduce Machine Learning Services for Python and R across the SQL Platform.
Democratizing Self-Service Data Preparation within Power BI Ben Sack
Everything you need to know about dataflows & how to easily prep your data, leverage Microsoft’s standardized schema (CDM), improve time-to-value, eliminate data silos, & create one source of truth for your organization.
Designing performant and scalable data lakes Rukmani Gopalan
Come learn how to design your enterprise-scale data lake on Azure using Azure Data Lake Storage
DevOps 101 for Data Folks Alex Yates
An introduction to the principles that underpin DevOps and the practices that are derived from those principles. This session is mostly theoretical, although it finishes with a brief overview of an Azure DevOps pipeline.
Ethics and Bias in data science Robin Lester
How to understand where bias lies, how to collect data and the impact of bias and ethical considerations in your data science solutions.
ETL in Azure Made Easy with Data Factory Data Flows Paul Andrew
What happens when you combine a cloud orchestration service with a Spark cluster?! The answer is a feature rich, graphical, scalable data flow environment to rival any ETL tech we’ve previously had available in Azure.
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