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!
Visit aka.ms/aroundtheclock
Portions of the event were streamed live on Learn TV and within Teams Live Events.
Thank you for joining the Microsoft Teams Channels to connect with the rest of your community and ensure you are notified when each session is beginning. You can download the session presentations anytime!
This is the opportunity to get your questions around Azure SQL and Azure Data Factory answered LIVE.
Connect with the experts behind the data technology and learn more during this personalized experience.
Choosing the right deployment option for Azure SQL Managed Instance and Database can be important to achieve the performance and availability you need. In this session you will learn what a Service Level Objective (SLO) means and how your SLO choice impacts performance, resource limits, and availability.
Azure Data Factory enables you to think in terms of your solution, not the technology. You're able to develop your pipeline and select the best technology for each data processing and storage step. But then how do you decide when to use an RDBMS, NoSQL, pure storage, and other constructs?
In this overview session, Buck Woody will explain a step-by-step process to design an effective Data Architecture for your solution's requirements and constraints.
- We will reveal practical 'Data engineering' challenges on the day of the event.
- Participants can register for one or more challenges.
- Participants will have one week to finish the challenge using Azure Data Factory/ Synapse Pipelines.
- We will provide the submission details on the day of the event.
This is the opportunity to get your questions around Azure SQL and Azure Data Factory answered LIVE.
Connect with the experts behind the data technology and learn more during this personalized experience.
- We will reveal practical 'Data engineering' challenges on the day of the event.
- Participants can register for one or more challenges.
- Participants will have one week to finish the challenge using Azure Data Factory/ Synapse Pipelines.
- We will provide the submission details on the day of the event.
Using Azure Data Factory, you can easily construct ETL and ELT processes code-free within the intuitive visual environment, or write your own code.
In this session, Shirley and Wee Hyong will share with you the top 7 things that you should know about Azure Data Factory, and how you can use it in your organizations to ingest, and transform data with ease.
Check out the Azure SQL and ADF playlist to start streaming on-demand videos now. Join the Microsoft Teams discussion to start talking with the community and stay up to date on all sessions.
We have also gathered relevant resources to help support you on your learning journey.
Azure Data Factory can do a lot of things, but it does Azure SQL really well! Check out our relevant resources to help support you on your learning journey.
Visit Azure Data Factory's YouTube channel as well!
Digital events have an environmental impact too. Around the Clock: Azure SQL & ADF is estimated to produce about 2.9 metric tons of CO2, including both the event's production and attendees streaming live and on-demand. We're partnering with Tradewater to fully offset the carbon emissions and then more – becoming carbon negative!
Tradewater is a mission-based company focused on the collection and destructions of the most potent greenhouse gases ever made to help prevent a climate crisis. Visit their website to understand your impact by calculating your carbon footprint and join the fight against climate crisis through the purchase of high impact offset credits.
Be friendly and welcoming
• Listen with purpose, create space for others’ communication preferences
• Ask yourself how you can make someone else’s life easier
Be patient
• Remember that people have varying communication styles and preferences
• Recognize that not everyone is using their native language (meaning and tone can be lost in translation)
Be thoughtful
• Think about how others will interpret your words – productive, clear communication requires effort!
• Remember that sometimes it is best to refrain entirely from commenting
Be respectful and inclusive
• Respect differences of opinion
• Seek to build bridges and understand, not condemn or criticize
• Make a conscious effort to include people who differ from you
Be open and curious
• Assume good intent and interpret others’ statements or questions in good faith
• Ask questions to understand, not denounce
• Focus on continuous learning - get better at the things you know, tackle completely new things, and ask others about their expertise to deepen yours
In summary,
• Treat everyone with respect, kindness and empathy.
• Use welcoming and inclusive language.
• Be thoughtful in how you communicate in person and online.
• Don’t be destructive or inflammatory.
• Gracefully accept constructive criticism.
• Listen with purpose, create space for communication preferences; honor them by shifting to accommodate.
• Reach out to DevRelEvents@microsoft.com if you need anything at all!
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