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Keynote by the Community Ben Weissman (he/him)
Join Rob and Ben for a fun filled hour from the community for the community as they invite a concatenation of community experts on stage and let them show us what their favorite data platform feature is and why!
The video is not available to view online.
Analyzing Azure Monitor Log data in Azure Data Studio Taiob Ali
In this 100% demo session, I will show you kql magic, kql kernel, and the recently released Azure Monitor Logs extension for Azure Data Studio to consume event logs of the Azure SQL database.
Automate the deployment of Databricks components using Terraform Falek Miah
Introduction into Terraform, Databricks provider and steps required to build an automated solution to provision Databricks workspace and resources into Azure cloud platform using Terraform.
Azure Container Apps for Data Engineers Ben Jarvis
In this session we will introduce Azure Container Apps and understand how it can be used as a simple and cost-effective way to host applications in Azure
Azure DevOps Release Pipelines for SQL Databases, Azure Data Factories, and Analysis Models Mike Diehl
How to deploy SQL databases, data factories, and tabular data models to Azure using Azure DevOps release pipelines.
Azure DevOps trio Kevin Chant
Welcome to Azure DevOps trio, a tale about how a development team and an operations team have to bond together and start using Azure DevOps for Data Platform deployments.
The video is not available to view online.
Benefits of Using Version Control In Database Development Grant Fritchey
Version control provides benefits beyond DevOps automation.
Building a robust deployment pipeline in Power BI Michael Johnson
Does your organisation need to manage the deployment of Power BI better? Join this session to learn how to shorten the time to deploy new features to your users while ensuring you maintain a standard for high quality using tools such as Azure DevOps and Power BI deployment Pipelines.
Building and managing a Data Platform in Azure Hamish Watson
How to build a data platform in Azure
The video is not available to view online.
Data Engineering the Hard Way: Developing Spark Applications on Kubernetes Gavin Campbell
Self-hosting Spark in Containers
Database Projects 101 in ADS Warwick Rudd
Database Projects 101 in ADS is an introductory session on how to incorporate Database Projects in Azure Data Studio into a Data Professionals toolkit.
Database Reliability Engineering - the new DBA? Hamish Watson
A session for DBAs considering where their career needs to go.
Deep Inside Azure SQL High Availability Joey D'Antoni
Want to have a deep dive into how SQL Server and Azure SQL service maintain high availablity? This is your session.
Docker & Kubernetes for the Data Scientist Terry McCann
Deployment == Return on investment. This session looks to show you how to do that for Machine Learning.
Embedding SQL security practices in your pipelines Stuart Moore
Automate checking your database security model
Ensuring visibility across the modern database landscape Arun Kannan
Join us for the session where we discuss the best approaches to database monitoring including how organizations can better collaborate to isolate issues & optimize experiences by centralizing and correlating metrics across your entire database stack.
The video is not available to view online.
Enterprise Scale Analytics - What's in it for me Oliver Engels
Reality Check on Microsofts Enterprise Scale Analytics Framework
Field Testing Ola Hallengren’s Maintenance Solution Joe Pollock
Learn how to best configure and use Ola's Maintenance Solution, based on years of experience using this on thousands of SQL Server instances.
Finding and Fixing T-SQL Anti-Patterns with ScriptDOM Koen Verbeeck
Improve the quality of your T-SQL code with the free tool ScriptDom
Five steps to create a data-driven culture Justin Langford
Being data-driven is all about making decisions based on insights generated using data.​
The video is not available to view online.
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