Microsoft Azure Zürich User Group

IN-PERSON meetup at Digicomp in Zürich.

Please note:

• Please do only reserve a seat, if you really plan to attend.
• Seats are not limited. No need to "block" a seat.
• If you will attend, please register quickly
• Please unregister if you cannot make it.

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AGENDA

• 18:00 Welcome
• 18:05 Synapse Real-Time Analytics in Fabric by Alvaro Videla
• 18:50 Drinks, Food and Networking
• 19:20 Data Engineering in the Large Language Models era by Ismaël Mejía
• 20:30 end

Session 1: Synapse Real-Time Analytics in Fabric

In this talk we'll take a look at Synapse Real-Time Analytics in Fabric and how you can use it to ingest data from various sources. We'll take a look at Kusto Database, Eventstream, and other technologies that are part of the suite of the Real-Time Fabric experience.
We'll show how Fabric is "open to everyone" from day one, showcasing integrations with RabbitMQ and Apache Kafka, so your data can be ingested into the platform using the tools you already know and love.
This will enable your organization to embrace the new data platform by Microsoft, without having to learn new tools or languages.

About Alvaro:
Alvaro Videla is a Technical Program Manager at Microsoft where he works in the intersection of Data and Messaging technologies. He was a core developer at RabbitMQ, and the co-author of the book "RabbitMQ in Action" for Manning Publications. He also writes for the ACM about the intersection of language and programming.

LinkedIn: https://www.linkedin.com/in/alvarovidela/

Session 2: Data Engineering in the Large Language Models era

The free lunch is over, we have to 'really' deal with unstructured data!
When engineers think about unstructured data, basically the first idea that comes to mind is those pesky legacy files we need to transform to extract into some 'good old' structured table somewhere. But the recent improvements on Machine Learning and the growing popularity of Large Language Models (LLMs) have opened a Pandora's box of interest and requirements for Data Engineers. Users want to access and analyze data from unstructured data sources using natural language processing and we should also maintain unstructured sources.
In this talk we will go into detail about what we need to do to get up to speed with the recent developments, we will talk about processing audio, images and text, using vector embeddings as well as the requirements for unstructured data pipelines and how we can achieve them by relying on Microsoft Fabric, AI services and open-source technologies like Apache Spark and SynapseML.

About Ismaël:

Ismaël Mejía is a Senior Cloud Advocate at Microsoft working on the Azure Data team. He has more than a decade of experience architecting systems for startups and financial companies. He has been focused on distributed data and data engineering, he is a contributor to Apache Beam, Apache Avro and many other open-source projects. He is also a member of the Apache Software Foundation (ASF).