(Livestream Replay) Power BI Storage Modes in Microsoft Fabric - with Phil Seamark

DESCRIPTION 📄

A review of semantic model storage modes available today in Microsoft Fabric. In particular, let's look at the new Direct Lake storage mode and help understand how this compares with Import and Direct Query, and when you might use each.

GUEST BIO 👤

Phil works for Microsoft on the Fabric Customer Advisory Team (CAT) as a DAX and Data Modelling specialist.

As part of this role, he helps global enterprise customers to optimize and tune large data models to perform their best under heavy load.

Phil has over 30 years of experience in I.T. with most of that time building solutions in business intelligence and advanced analytics.

(Livestream Replay) Introducing EDITable - for Easy Master Data Entry into Power BI & Fabric - with Gopal

DESCRIPTION 📄

EDITable by Lumel is a no-code Live Write-Back Application that will allow business users to create and maintain their Master Tables and Flat Tables primarily used for Reporting and Planning Applications with full governance, audit, and approval workflow.

GUEST BIO 👤

Gopal Krishnamurthy is the Founder/CEO of Lumel. Lumel is Looking Forward to Disrupting Data & Analytics space with No Code Integrated Platform that will eliminate application silos caused by the diverse needs of business users (Reporting, Visualizations, Story Telling, Analysis (Drill-Down, Pivot), Planning, Simulations, Collaboration and Write-back).

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(Livestream Replay) Eliminate Data Silos with OneLake, the OneDrive for data - with Josh Caplan

DESCRIPTION 📄

OneLake eliminates pervasive and chaotic data silos created by developers configuring their own isolated storage. OneLake provides a single, unified storage system for all developers. Unifying data across an organization and clouds becomes trivial. With the OneLake data hub, users can easily explore and discover data to reuse, manage or gain insights. With business domains, different business units can work independently in a data mesh pattern, without the overhead of maintaining separate lakes. Tune in to learn more!

GUEST BIO 👤

Josh Caplan is a product management leader, currently leading Microsoft OneLake. Prior to his role at OneLake, Josh played a pivotal role in shaping the Power BI team, leading the development of developer experiences, Power BI Premium, SQL Server Analysis Services, and Azure Analysis Services. Josh also spent several years on the Bing team, where he leveraged his expertise in business intelligence to drive insights from Bing's massive data.

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(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.

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