(Livestream Replay) Generative AI: Concepts, Tools, and Applications for Data Professionals - with Buck Woody

DESCRIPTION 📄

Generative AI is a branch of artificial intelligence that can create new data or content by learning from existing content. It has applications in various domains such as text, image, audio, video, and code generation. In this session, you will learn how generative AI works, its limitations, the main tools and processes you can use, and where you can use it to enhance your data estate and data projects. You will also explore examples of how generative AI can help you with code generation, debugging, and optimization tasks. You will examine a complete solution using SQL SErver Machine Learning Services and Azure OpenAI integration. This session is suitable for data professionals who have some familiarity with machine learning and want to learn more about the potential and effective uses of generative AI.

GUEST BIO 👤

Buck Woody is an Applied Data Scientist working on the Azure Data Services team at Microsoft, and uses data and technology to solve business and science problems. With over 39 years of professional and practical experience in computer technology, he is also a popular speaker at conferences around the world; author of over 700 articles and nine books on databases, machine learning, and R, he also sits on various Data Science Boards at two US Universities and specializes in advanced data analysis techniques. He is passionate about mentoring and growing the next generation of data professionals.

RELATED CONTENT 🔗

Buck's LinkedIn

(Livestream Replay) Demystifying Fabric's SQL Architecture & Best Practices - with Bogdan Crivat

DESCRIPTION 📄

Join Microsoft Azure's Corporate Vice-President (VP) Bogdan Crivat and I for this special livestream where we'll do a deep dive into the engineering behind the SQL architecture in Fabric, and how it's both similar and different from the SQL architecture you'd find in various Azure SQL databases. Plus he'll also demo and discuss some best practices for implementation of both Fabric Data Warehouses and Lakehouses. Tune in to learn more!

GUEST BIO 👤

Passioned about advanced analytics, machine learning, in-memory databases and parallel computing. His background is in Mathematics and Computer Science. Bogdan received a degree in Computer Science at University of Bucharest (1997) and a PhD degree from Universitatea Transilvania of Brasov, Romania (2011). He is also the author or co-author of 13 patents (and a number of pending applications), mostly in the areas of data mining, predictive analytics and in-memory analytics.

RELATED CONTENT 🔗

What is Data Warehousing in Fabric?
What is a Fabric Lakehouse?
Bogdan's LinkedIn

(Livestream Replay) Managing Power BI, to Prepare for Fabric - with Alex Whittles

DESCRIPTION 📄

Power BI is in place in almost all organizations, with varying degrees of effectiveness in its implementation. The introduction of Fabric introduces a transformative shift, amplifying both the opportunities and complexities associated with Power BI. Consequently, it becomes imperative to proactively manage your Power BI ecosystem, focusing on key aspects such as structure, security, processes, and monitoring. This not only establishes a solid foundation for Power BI governance, but also paves the way for migrating your data engineering workloads into Fabric, while retaining full control, transparency, and governance over your data environment.

GUEST BIO 👤

Alex is a 9 year Data Platform MVP, and is the owner and principle consultant at Purple Frog Systems, a Microsoft Data Analytics consultancy in the UK with multinational clients in a variety of sectors. He specialises in the architecture and design of all aspects of data warehousing, ETL, cubes, Power BI and Machine Learning. He’s also the creator of Power BI Sentinel. Alex is on the organizing committee for the SQL Bits conference, and is a regular speaker at many data events around the world including SQL Bits, Data Relay, SQL Saturdays, Data Grillen, 24 HOP and the PASS Summit, and has a Masters degree in Business Intelligence.

RELATED CONTENT 🔗

LinkedIn
Purple Frog Website
Power BI Sentinel Website

(Livestream Replay) Fabric Lakehouse Hell...or Glory?!? - with Tom Martens

DESCRIPTION 📄

During the last months, we have heard a lot about Microsoft Fabric and how it will change the analytical landscape. How it will help solve the most demanding analytical challenges.

It has become simple to create a lakehouse in seconds, or two, or a hundred. How will we organize our Fabric workspace? Do we have one workspace with three lakehouses (bronze, silver, and gold), or do we have three workspaces? Next to the number of workspaces, what about the capacities? Will a solution “own” multiple capacities, or only one or two, and share compute power with other teams, utilizing the idea of the share economy? Here, I want to share some early thoughts, including aspects of data architectures like data mesh and data fabric.

GUEST BIO (Tom Martens) 👤

Thomas "Tom" Martens has been awarded as an MSFT Data Platform MVP and works as Solution Architect at Munich Re. For 20+ years, Tom delivers Business Intelligence, Data Warehousing, and Analytics solutions. His current interest is in data visualization and applying analytical methods to small and large amounts of data, next to providing the Power BI Platform to users for tackling analytical challenges. Tom is a regular speaker at international conferences and user meetings. Tom is the co-author of the book "Pro DAX with Power BI."

RELATED CONTENT 🔗

Website
Twitter
LinkedIn