(Livestream Replay) Creating Accessible Ops Data with Real-Time Intelligence in Fabric - with Will Thompson

DESCRIPTION 📄

At Microsoft Build in May, we announced Real-Time Intelligence which brings our messaging, time-series analytics and real-time action systems together in Fabric. We’ll look at how these help data engineers and business analysts ingest, analyze, and take action on streaming and real-time data. I’ll demo Eventstreams, Eventhouse, Real-Time Dashboards, and Data Activator.

GUEST BIO (Will Thompson) 👤

Will is a self-confessed data geek, working his way through sysadmin and DBA roles before joining Microsoft. He spent 5 years helping customers in the UK implement and get value out of Microsoft’s BI solution. When an opportunity arose to move into product engineering in 2012, he jumped at it and took ownership of Power BI’s visual and modeling features. In 2022 he started running Product Management for Data Activator, a new product for monitoring and acting on changes in data.

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(Livestream Replay) Power BI Automation With Semantic Link - Sandeep Pawar

DESCRIPTION 📄

Semantic Link in Microsoft Fabric offers a new way to access the data and semantic information contained in a semantic model. This allows data scientists, data engineers and data analysts to preserve and re-use the business and domain knowledge in creating enterprise solutions.

In this session, Sandeep will give you an overview of Semantic Link and provide practical use cases to use Semantic Link in your development workflow to automate common Power BI tasks, optimize the semantic models and also monitor/manage the tenant. He will also show Semantic Link Labs, an open-source Python library with hundreds of useful utilities.

GUEST BIO 👤

Sandeep is a Sr Power BI Architect at Hitachi Solutions America where he helps organizations build enterprise analytics solutions using Microsoft data stack. He blogs about Data Engineering, Data Science and Power BI at fabric.guru

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Medallion Architectures...Do They Actually Work??? - Simon Whiteley

DESCRIPTION 📄

We’re sold, we’re all about building lake-based data platforms these days – but whether you’re all about the Fabric Lakehouse or Warehouse, whether you’re into custom lakes or OneLake all the way, there are constant arguments about how things should be structured. What if you’ve gone medallion but the zones don't quite fit what they were trying to achieve, and no one in the company understands what "silver" vs. "gold" actually means?

Is the Medallion Architecture right for most businesses - and how should you interpret the advice? What are the different stages of data curation and how do they work in reality? How should we think about schema evolution, data cleansing, record validation, and traditional data modeling techniques, layering them on top of our medallion zones so we truly understand what happens where.

GUEST BIO 👤

Simon is a Databricks Beacon, Microsoft MVP and owner of Advancing Analytics. He’s been building and designing lakehouses before they were called lakehouses, and spends most of his time championing data engineering and ranting about Spark on Youtube. When not tinkering with tech, you’ll find Simon wandering the streets of London, always hunting for interesting things to eat, drink and do!

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(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.