Around the Clock - Azure SQL and Azure Data Factory is a free, 24-hour livestream event for data enthusiasts by enthusiasts. Azure Data Factory can do a lot of things, but it does Azure SQL really well! We will discuss this and more!
Visit Around the Clock - Azure SQL and Azure Data Factory to learn more and stream LIVE on Learn TV and Microsoft Teams.
Join the Microsoft Teams Channel!
Please note, Around the Clock - Azure SQL & Azure Data Factory is a climate positive event. We have partnered with Tradewater to offset the carbon emissions for the event to make it carbon negative! Learn more in the Digital Swag section of this repo.
This engineering event will focus on Azure SQL and Azure Data Factory. Experts, lead program managers, and principal architects will answer your questions live while also presenting various topics including:
- Serverless data integration
- Understanding Service Level Objectives (SLO)
- Best practices and performance optimizations
- Creating a Data Architecture
- Basic KQL for troubleshooting
- Data security best practices
Get started learning and join the Azure Data Factory Hackathon to put your skills to the test!
Download and view all of the presentations from the event here.
| Time | Sessions | Direct Link |
|---|---|---|
| 0900 – 1000 PT | Data Exposed Special | aka.ms/learntv |
| 1000 - 1030 PT | Ask the Experts | aka.ms/learntv |
| 1030 - 1100 PT | Break | Break |
| 1100 – 1120 PT | Serverless Data Integration with Azure SQL and Azure Data Factory | Teams Link |
| 1130 - 1150 PT | Understanding Service Level Objectives (SLO) in Azure SQL | Teams Link |
| 1200 - 1300 PT | Lunch Break | Break |
| 1300 – 1320 PT | ADF Data Flows: Best practices and performance optimizations | Teams Link |
| 1330 - 1350 PT | Creating a Data Architecture | Teams Link |
| 1400 - 1420 PT | Your A-team: Azure Data Factory, Azure SQL, Azure DevOps | Teams Link |
| 1430 – 1450 PT | Basic KQL for troubleshooting Azure SQL DB | Teams Link |
| 1500 - 1530 PT | Break | Break |
| 1530 - 1550 PT | Develop with Azure SQL in the Browser | Teams Link |
| 1600 - 1620 PT | Using SQL Data Sync in Azure SQL | Teams Link |
| 1630 - 1650 PT | Hackathon - All you need to know to get started | Teams Link |
| Time | Sessions | Direct Link |
|---|---|---|
| 1200 – 1230 SGT | Ask the Experts | aka.ms/learntv |
| 1230 - 1300 SGT | Break | Break |
| 1300 – 1320 SGT | Hackathon - All you need to know to get started | Teams Link |
| 1330 – 1350 SGT | Data ingestion performance optimizations | Teams Link |
| 1400 - 1420 SGT | 7 Things you should know about Azure Data Factory | Teams Link |
| 1430 – 1520 SGT | Break | Break |
| 1530 – 1550 SGT | Data security best practices for data engineers using Data Factory | Teams Link |
| 1600 – 1700 SGT | Break | Break |
| 1700 – 1720 SGT | Blast to The Future: Accelerating Legacy SSIS Migrations with Azure SQL and ADF | Teams Link |
| 1730 – 1750 SGT | Best practices using Azure SQL as Sink in ADF | Teams Link |
| 1800 – 1820 SGT | Patterns and best practices of using ADF for data ingestion | Teams Link |
| 1830 – 1850 SGT | Securing your Azure SQL Database | Teams Link |
Between the learning, work, family, fitness, reading, sleeping, binge-watching...we get it. Time is limited and priceless. That is why we will have this event available for on-demand to stream when you are available. View on-demand content where you can view this event and more on-demand content to continue learning more.
Still interested in getting more information during your own time? You can visit Microsoft Learn at any time to go through modules, read relevant documentation, and stream live content on Learn TV.
Follow @LearnTV on Twitter to stay in touch about this event (#AroundTheClock) and future events and streams on Learn TV. Connect with the Azure Data Factory Team on Twitter by following @AZDataFactory and with the Azure SQL Team by following @AzureSQL.