!!! This is not a sign-up form, to get a ticket for the Community Day, go to: www.communityday2023.nl !!!
In April we have something very special planned: The Microsoft Community Day
Eight communities, all active in their respective fields within the Microsoft ecosystem, get together at one location to have almost a mini-conference where each community organizes a track of two sessions.
This is a great way to meet new people, get in touch with new communities and extend your network and knowledge past your usual bubble.
More information on the format of the event and the other communities can be found on the event website: www.communityday2023.nl
From the Azure Thursday community, we have the following sessions planned for you:
Speaker: Barbara Forbes
Title: [Meta]Speak up! How to give great tech sessions
Speaking at conferences is awesome! You’ll meet new people, share your knowledge, and inspire others. But there are a lot of challenges to face and overcome. In this session, Barbara will share her tips on how to get accepted at a conference, how to overcome imposter syndrome, and how to create great sessions. She will also tell you how to send a strong message into the world. To top it off, we will look at the difference between a good and a bad demo. Spoiler: you don’t have to depend on the demo gods!
Speaker: Zeeshan Ali
Title: Event-Driven Data Ingestion Using Azure Databricks Autoloader
Databricks Auto Loader is designed to solve the problem of getting data into the Databricks platform for processing and analysis. The process of loading data into a data platform like Databricks can be time-consuming and complex, especially when working with large volumes of data or data from multiple sources. The Auto Loader feature simplifies this process by allowing users to specify a set of external data sources and a schedule for data loading, and then automatically loading the data from those sources at the specified intervals.
By automating the data loading process, the Auto Loader helps users to save time and effort, and enables them to focus on other tasks such as data processing and analysis. It also helps to ensure that data is loaded consistently and reliably, reducing the risk of errors or data loss.
Databricks Auto Loader helps to make it easier for users to work with large volumes of data and to get that data into the platform quickly and efficiently, enabling them to focus on using the data to drive insights and business value.
=> Read more about the sessions and speakers on: www.azurethursday.com
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