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Join us for a 24-hour, engineering event focused on Azure SQL and Azure Data Factory - with the idea that Azure Data Factory can do a lot of things, but it does Azure SQL really well!

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Around the Clock - Azure SQL and Azure Data Factory

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. All content is now available on-demand!

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.

What you will learn

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.

Agenda - US Timezone

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 on-demand
1130 - 1150 PT Understanding Service Level Objectives (SLO) in Azure SQL on-demand
1200 - 1300 PT Lunch Break Break
1300 – 1320 PT ADF Data Flows: Best practices and performance optimizations on-demand
1330 - 1350 PT Creating a Data Architecture on-demand
1400 - 1420 PT Your A-team: Azure Data Factory, Azure SQL, Azure DevOps on-demand
1430 – 1450 PT Basic KQL for troubleshooting Azure SQL DB on-demand
1500 - 1530 PT Break Break
1530 - 1550 PT Develop with Azure SQL in the Browser on-demand
1600 - 1620 PT Using SQL Data Sync in Azure SQL on-demand
1630 - 1650 PT Hackathon - All you need to know to get started on-demand

Agenda - APAC Timezone

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 on-demand
1330 – 1350 SGT Data ingestion performance optimizations on-demand
1400 - 1420 SGT 7 Things you should know about Azure Data Factory on-demand
1430 – 1520 SGT Break Break
1530 – 1550 SGT Data security best practices for data engineers using Data Factory on-demand
1600 – 1700 SGT Break Break
1700 – 1720 SGT Blast to The Future: Accelerating Legacy SSIS Migrations with Azure SQL and ADF on-demand
1730 – 1750 SGT Best practices using Azure SQL as Sink in ADF on-demand
1800 – 1820 SGT Patterns and best practices of using ADF for data ingestion on-demand
1830 – 1850 SGT Securing your Azure SQL Database on-demand

Missed the event or cannot attend live?

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 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.

Keep learning more

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.

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Join us for a 24-hour, engineering event focused on Azure SQL and Azure Data Factory - with the idea that Azure Data Factory can do a lot of things, but it does Azure SQL really well!

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