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Title & Speakers Event

When: Thursday 24th April 2025 Time: arrive for 5:45pm with talks starting from 6pm start prompt Location: Robert Walters, Number 1 Spinningfields, Manchester, M3 3HF Session will not be streamed over MS Teams Complimentary drinks & pizza provided by our hosts & sponsors Robert Walters

April's PBIMCR will feature ..... Speaker Details - Rishi Sapra

Storytelling With Data

Communicating through telling stories is an innate part of what it means to be human. It’s what allows us to share beliefs and build connections in a way that the brains of other animal species simply aren’t wired to do. We’re used to telling stories through essays and creative writing, but when it comes to using data to tell these stories, people are often hesitant to adopt a stance and use data to argue it. If I’m a BI developer, how do I have the skills (or even the permission) to tell a data story for another part of the business? How can I tell a story over data that frequently changes?

But these are just excuses we make for not building the best data visualizations we know we can! By understanding the specific user personas who the report is for, we can make them the central characters of our data stories and highlight the “tension” (resolved through the storyboard!) that every good story needs.

But these are just excuses we make for not building the best data visualizations we know we can! By understanding the specific user personas who the report is for, we can make them the central characters of our data stories and highlight the “tension” (resolved through the storyboard!) that every good story needs.

In this session, Rishi will:

Walk through the core structure of a gripping story, showing how this translates into Power BI using techniques like pre-attentive attributes, presenting data as arguments (rather than just statements), and providing a “so what” conclusion to the story.

Showcase examples of visualizations he’s built for the community and highlight the data stories he was communicating with them.

Attendees will walk away with an understanding of how to communicate with data in a way that their audience enjoys consuming reports and is able to take action based on the contextualized data arguments presented.

This session is aimed at anyone who wants to understand the impact of data visualizations and how they can be used to effectively communicate what the data is really telling you, framed within the context that the author (report creator) injects into the narrative.

Speaker Details - Craig Porteous -Associate Head of Data Engineering at Advancing Analytics Topic:

Zero to Lakehouse in Microsoft Fabric

Fabric is Microsoft's unified software as a service data platform built around the Data Lakehouse architecture but do you create a Lakehouse, or a Warehouse, or both? How does it all fit together and how can you get the most out of it?

In this session I'll explain what all the components of Microsoft Fabric are, a few architecture patterns you can follow to get what you need, and demonstrate how you can bring them together to build a full data Lakehouse platform without ever touching an Azure resource. You will leave this session with a good understanding of Fabric, it's capabilities, and how you can use it.

About Craig: Data Platform MVP \| Associate Head of Engineering @ Advancing Analytics\| DATA:Scotland event founder \| He/Him. Glasgow, United Kingdom I'm a lifelong learner with a passion for creative problem-solving. I share my expertise and insights with the data community through talks, video content, and bringing people together with the DATA:Scotland event.

PBIMCR presents Microsoft MVPs Rishi Sapra & Craig Porteous

When: Thursday 20th March 2025 Time: arrive for 5:45pm with talks starting from 6pm start prompt.

Location: BJSS, 90 Victoria St, Redcliffe, BS1 6DP

Complimentary drinks & pizza provided by our hosts BJSS

Social drinks afterwards will be at Ye Shakespeare (50m away) for those interested.

This #MSFABRICBRISTOL will feature Claire Edgson and our very own Ashley Warren

Session 1 - Fabric: Why should Power Platform care? - Claire Edgson Join us for an, demo laden session, designed for those eager to deepen their understanding of impact of Microsoft Fabric on the Microsoft Power Platform. This session is tailored for Developers and Architects who are ready to dive into the "power" of Fabric teamed with Dataverse. We will explore the core components of how Power platform can use Fabric, and best practices of building analytics around Dataverse. We will review the architecture behind it and how that impacts Power platform and Power Bi development.

Key Topics:

  • What is Dataverse. - Architecture and integrations
  • Explore how Microsoft Fabric integrates with the Power Platform to streamline workflows and enhance data accessibility.
  • Dive into Data Exports to Fabric with a live demo, understand what the "Link" means.
  • Discuss Power BI options for data modelling from Dataverse.
  • Using Fabric in Power apps and automations:
  • Look at options including Virtual tables to read data in the Apps and automations with a live demo.
  • Recap the key benefits of combining Fabric and Power Platform:
  • Discuss the Limitations and best practices , as well as how Fabric can help Data management and reduce costs

Takeaways:

Better understanding of what Dataverse is and how it works with Fabric components. the risks, mitigations and benefits of combining with power platform in your solutions

About Claire Claire is a Microsoft Fast Track Recognized Architect with 30+ years of experience in data, infrastructure, and integration. Specialising in Power Platform and governance, she helps organisations navigate transformation with a focus on security and efficiency.

Session 2 - Power BI deployment methods: For when just hitting publish isn't good enough - Ashley Warren

Power BI has a number of options built in for deploying semantic models and reports. When you're just starting out, you probably just hit publish in Power BI Desktop but is that really the best way to get your content into production? This session will explore more mature & scalable options for deploying Power BI content.

About Ashley Ashley currently works as a Senior Analytics Consultant for Advancing Analytics and is a co-organiser of Fabric & Power BI - Bristol. During Ashley’s career, he’s managed data teams through re-platforming, led report development teams and designed training on analytics best practice. He’s driven by a passion for Power BI and delivering insightful reporting, that creates business value, into the hands of end users.

We all look forward to seeing you there!!

#MSFABRICBRISTOL - Mar 25 - Power Platform with Fabric & Deployment Methods

Details

Welcome to the Databricks Scotland Meetup in Glasgow! Whether you're a seasoned Databricks user, just dipping your toes, or simply intrigued about what the platform can offer, this meetup promises to deliver insights, best practices, and opportunities for networking with like-minded individuals. We hope to see you there!

Come join us for the Scotland Databricks meetup at BJSS, March 13th at 5.30pm for an evening of Databricks!

17:30 - 17:45 Welcome & Networking 17:45 - 18:30 Sean Caldwell 18:30 - 19:00 Networking, Food and Drinks 19:00 - 19:45 Networking, Food and Drinks

Spark up the Savings - Sean Caldwell

Migrating data ingestion Spark jobs from Databricks to AKS to allow more control over compute for each job. Reducing the overall cost of a data platform.

Fabric and Databricks: Better together? - Craig Porteous

Fabric is Microsoft's new unified data platform and with it brings many questions of which platform to choose, where does Databricks excel, What makes Fabric the right choice?

But it doesn't have to be a binary choice. Rather than thinking about which route to take, You can enrich your Databricks Data Lakehouse with Microsoft Fabric, taking advantage of Fabric's key features such as lightning fast Direct Lake connectivity from your Delta Lake to Power BI.

In this session we will deep dive into the synergistic relationship between Azure Databricks and Microsoft Fabric. Together these platforms can deliver performance and value in data analytics. We'll explore architecture patterns to enhance and augment your existing Databricks Lakehouse allowing you to fully harness key features in Fabric all built upon the same robust storage of Delta Lake.

We will also explore how the close integration of these platforms can lead to improved analytics capabilities, and ultimately, better business insights. Whether you are an analytics engineer looking to get the most out of your data, or a business leader seeking to drive data-driven decision making, this session will provide valuable insights into maximizing the potential of your data platform by bringing Azure Databricks and Microsoft Fabric together

About Us If you need to contact us for any reason you can email us at: [email protected] We are sponsored by:

Databricks Scotland March meetup
Jack A. Hyman – author

Build business intelligence with insight from a professional Microsoft Power Platform For Dummies covers the essentials you need to know to get started with Microsoft Power Platform, the suite of business intelligence applications designed to make your enterprise work smarter and more efficiently. You'll get a handle on managing and reporting data with Power BI, building no-code apps with Power Apps, creating simple web properties with Power Pages, and simplifying your day-to-day work with Power Automate. Written by a business consultant who's helped some of the world's largest organizations adopt, manage, and get work done with Power Platform, this book gets you through your work without working too hard to figure things out. Discover the tools that come with Power Platform and how they can help you build business intelligence Manage data, create apps, automate routine tasks, create web pages, and beyond Learn the current best practices for launching Power Platform in an organization Get step-by-step instructions for navigating the interface and setting up your tools This is a great quick-start guide for anyone who wants to leverage Power Platform's BI tools.

data data-science business-intelligence microsoft-power-platform BI Microsoft Power BI
O'Reilly Data Science Books

* This a Data Celi event and you MUST register and pay 250 Euro on https://www.dataceili.ie/precons to attend

Data Celi is a community run event for the Irish Microsoft Data Platform. *

Congratulations! You've built your shiny fancy Power BI report and your charts look terrific. But, your data refresh takes forever...Or, your report is utterly slow when interacting with visuals...You switch to DirectQuery mode to make things better, just to discover that the report performance sucks even more... ​ And, if you feel lost, I don't blame you - I've also been there! ​ That's why this workshop is for you: we will examine potential bottlenecks in your Power BI report - starting with defining the best practices for data model size optimization, understanding the importance of query folding feature, all the way to identifying culprits for your slow report rendering. We will wrap it up with learning when and why (not) to use DirectQuery mode, and how to apply improvements on the data source side to make things faster in the Power BI.

Participants will walk out well-equipped to identify the potential Power BI development areas that need improvement. By understanding specific important concepts and features, and the way Power BI works internally, participants will be able to create highly efficient reporting solutions.

We will wrap it up with learning when and why (not) to use DirectQuery mode, and how to apply improvements on the data source side to make things faster in the Power BI. We'll also examine how to get the most out of the latest Direct Lake mode in Microsoft Fabric, and in which scenarios makes sense to go this route.

Cracking Power BI Performance Tuning

When: Thursday 23rd May 2024

Time: arrive for 5:45pm with talks starting from 6pm start prompt Location: GM Digital Security Hub (DiSH) Heron House, 47 Lloyd Street M2 5LE

Session will not be streamed over MS Teams Complimentary drinks & pizza provided by our hosts & sponsors Robert Walters

May's #PBIMCR will feature Mark Endicott and Brian Bønk

Session 1 - Advanced Incremental refresh in Power BI - Mark Endicott

Incremental Refresh is nothing new in Power BI, and if you’ve got a large data model it can really help look after your Power BI environment. But what if your requirements for data refreshing are a bit more bespoke? What if you need to customise things a little bit? In this talk we’ll look at ways we can leverage the use of the XMLA Endpoint to implement Advanced Partitioning.

About Mark Mark has just over 8 years of experience in the world of data, choosing to hone his skillset in Data Visualisation, Modelling and all things Power BI, but he can also write a mean SQL query and can talk strategy & culture too. Mark’s experience was built up working in the Recruitment and Facilities Management industries, before moving into Consultancy just over 2 years ago, where he focuses on teaching best practice across both Modelling and Visualisation disciplines and delivering user centric, self-service Power BI deployments at an Enterprise and SME level.

Session 2 - The Kusto experience in Fabric - Brian Bønk Want to make a cutting edge data platform using Kusto in Fabric?

Then come along for a journey into the world and wonders of Kusto and the new Streamevent service in Fabric.

In this session I will guide you through the experience and close collaboration between Fabric and the Kusto database and querysets. Along with how to help Power BI get the most out of your Kusto database with small tweeks.

Springled with a bit of new magic in the Jupiter Notebooks for the Kusto language, we will also set a course towards how the data engineer can begin to leverage the Kusto service.

After watching this level 200 session I hope you'll have found inspiration to work with the Kusto service in Fabric and know how to give the Kusto engine the small push it needs to perform the best in close collaboration with Power BI.

About Brian Brian has worked with SQL Server for more than two decades - varying projects on both size and complexity. Now he's working to support the Data & Analytics team at Fellowmind. Honored with MVP on Data Platform from 2023. Currently given the honor of being Microsoft Recognized Fasttrack Solution Architect since 2022. Brian loves data and is always trying to glue the business and tech together using his knowledge and experience. He is always open to meet new people and help them get better at their job or task.

#PBIMCR - The Kusto experience in Fabric & Advanced Incremental Refresh in PBI

Update on 18th-Feb Everybody who completed the building registration form should now have received an email with a visitor pass and barcode to scan at the barriers. This email comes from "2 Kingdom Street Appointments", the address of Microsoft's office in London. The invites is for a meeting at Microsoft on Monday 19 February at 17:00 at 2 Kingdom Street, London W2 6BD. The talk starts at 6pm but please arrive any time from 5:30pm. See you tomorrow.

Power BI is one of the anchor products within the Microsoft Power Platform. In this session we'll see a number of scenarios where it can be used to work with Power Automate and Power Apps in order to get the most out of this wonderful product.

Along the way we'll see how to use Power Automate to:

  • Trigger a dataset refresh
  • Create an email with the latest data included

In addition to this we'll see how simple it is to:

  • Add a Power BI report to a model driven app
  • Configure the Power Apps Power BI control to deliver a revolving status dashboard

Speaker Bio Rory is a freelance Power Platform Trainer and consultant, and has been working in the Power Platform since the early days of Power BI and has trained people across Europe in that time, from Italy up to Iceland and from Ireland across to Finland and his courses have been viewed worldwide.

An accountant by trade, he is the founder of www.powerplatformlearn.academy and powerapps4kids.com and has worked both as a contractor, trainer and a consultant in the Power Platform space for many years.

Rory is a Microsoft Business Applications MVP, MCT and Qualified ACA. He has been active in the community as a presenter, blogger and vlogger and is always looking for new opportunities to create simple value when using Power Platform.

Note the new location for this event: the new Microsoft Reactor at their Paddington office, Paddington Central, 2 Kingdom St, London, W2 6BD. (Please remember the old location in Shoreditch is closed!)

Building security rules for the event location mean that we had to provide full names and email addresses of all attendees 3 days before the event. They are super strict about this. We have sent off the list to Microsoft and have closed the form and have emailed all those people who completed the form to confirm that they are registered.

Important: If you do not register with the registration form, please do not come. Signing up on meetup is not enough. Microsoft building security will not admit you without registration unfortunately.

How to get the best out of Power BI and the Power Platform
Prukalpa Sankar – Co-founder @ Atlan , Tobias Macey – host

Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. A variety of platforms have been developed to capture and analyze that information to great effect, but they are inherently limited in their utility due to their nature as storage systems. In order to level up their value a new trend of active metadata is being implemented, allowing use cases like keeping BI reports up to date, auto-scaling your warehouses, and automated data governance. In this episode Prukalpa Sankar joins the show to talk about the work she and her team at Atlan are doing to push this capability into the mainstream.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Go to dataengineeringpodcast.com/linode today and get a $100 credit to launch a database, create a Kubernetes cluster, or take advantage of all of their other services. And don’t forget to thank them for their continued support of this show! RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. Sign up free… or just get the free t-shirt for being a listener of the Data Engineering Podcast at dataengineeringpodcast.com/rudder. Data teams are increasingly under pressure to deliver. According to a recent survey by Ascend.io, 95% in fact reported being at or over capacity. With 72% of data experts reporting demands on their team going up faster than they can hire, it’s no surprise they are increasingly turning to automation. In fact, while only 3.5% report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months. 85%!!! That’s where our friends at Ascend.io come in. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP. Go to dataengineeringpodcast.com/ascend and sign up for a free trial. If you’re a data engineering podcast listener, you get credits worth $5,000 when you become a customer. Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud. Prophecy provides an easy-to-use visual interface to design & deploy data pipelines on Apache Spark & Apache Airflow. Now all the data users can use software engineering best practices – git, tests and continuous deployment with a simple to use visual designer. How does it work? – You visually design the pipelines, and Prophecy generates clean Spark code with tests on git; then you visually schedule these pipelines on Airflow. You can observe your pipelines with built in metadata search and column level lineage. Finally, if you have existing workflows in AbInitio, Informatica or other ETL formats that you want to move to the cloud, you can import them automatically into Prophecy making them run productively on Spark. Create your free account today at dataengineeringpodcast.com/prophecy. Your host is Tobias Macey and today I’m interviewing Prukalpa Sankar about how data platforms can benefit from the idea of "active metadata" and the work that she and her team at Atlan are doing to make it a reality

Interview

Introduction How did you get involved in the area of data management? Can you describe what "active metadata" is and how it differs from the current approaches to metadata systems? What are some of the use cases that "active metadata" can enable for data producers and consumers?

What are the points of friction that those users encounter in the current formulation of metadata systems?

Central metadata systems/data catalogs came about as a solution to the challenge of integrating every data tool with every other data tool, giving a single place to integrate. What are the lessons that are being learned from the "modern data stack" that can be applied to centralized metadata? Can you describe the approach that you are taking at Atlan to enable the adoption of "active metadata"?

What are the architectural capabilities that you had to build to power the outbound traffic flows?

How are you addressing the N x M integration problem for pushing metadata into the necessary contexts at Atlan?

What are the interfaces that are necessary for receiving systems to be able to make use of the metadata that is being delivered? How does the type/category of metadata impact the type of integration that is necessary?

What are some of the automation possibilities that metadata activation offers for data teams?

What are the cases where you still need a human in the loop?

What are the most interesting, innovative, or unexpected ways that you have seen active metadata capabilities used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on activating metadata for your users? When is an active approach to metadata the wrong choice? What do you have planned for the future of Atlan and active metadata?

Contact Info

LinkedIn @prukalpa on Twitter

Parting Question

From your perspective, what is the biggest gap in the tooling or technology for data management today?

Closing Announcements

Thank you for listening! Don’t forget to check out our other shows. Podcast.init covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast helps you go from idea to production with machine learning. Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes. If you’ve learned something or tried out a project from the show then tell us about it! Email [email protected]) with your story. To help other people find the show please leave a review on Apple Podcasts and tell your friends and co-workers

Links

Atlan What is Active Metadata? Segment

Podcast Episode

Zapier ArgoCD Kubernetes Wix AWS Lambda Modern Data Culture Blog Post

The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA

Support Data Engineering Podcast

AI/ML Airflow Argo CD AWS AWS Lambda Azure BI BigQuery CDP Cloud Computing Data Engineering Data Governance Data Lake Data Management Databricks ETL/ELT GCP Git Informatica Java Kubernetes Modern Data Stack MongoDB MySQL postgresql Python Scala Snowflake Spark SQL Data Streaming
Rob Collie – guest @ Power Pivot Pro , Tobias Macey – host

Summary Business intelligence efforts are only as useful as the outcomes that they inform. Power BI aims to reduce the time and effort required to go from information to action by providing an interface that encourages rapid iteration. In this episode Rob Collie shares his enthusiasm for the Power BI platform and how it stands out from other options. He explains how he helped to build the platform during his time at Microsoft, and how he continues to support users through his work at Power Pivot Pro. Rob shares some useful insights gained through his consulting work, and why he considers Power BI to be the best option on the market today for business analytics.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management What are the pieces of advice that you wish you had received early in your career of data engineering? If you hand a book to a new data engineer, what wisdom would you add to it? I’m working with O’Reilly on a project to collect the 97 things that every data engineer should know, and I need your help. Go to dataengineeringpodcast.com/97things to add your voice and share your hard-earned expertise. When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform. Go to dataengineeringpodcast.com/linode today and get a $60 credit to try out a Kubernetes cluster of your own. And don’t forget to thank them for their continued support of this show! Are you bogged down by having to manually manage data access controls, repeatedly move and copy data, and create audit reports to prove compliance? How much time could you save if those tasks were automated across your cloud platforms? Immuta is an automated data governance solution that enables safe and easy data analytics in the cloud. Our comprehensive data-level security, auditing and de-identification features eliminate the need for time-consuming manual processes and our focus on data and compliance team collaboration empowers you to deliver quick and valuable data analytics on the most sensitive data to unlock the full potential of your cloud data platforms. Learn how we streamline and accelerate manual processes to help you derive real results from your data at dataengineeringpodcast.com/immuta. Equalum’s end to end data ingestion platform is relied upon by enterprises across industries to seamlessly stream data to operational, real-time analytics and machine learning environments. Equalum combines streaming Change Data Capture, replication, complex transformations, batch processing and full data management using a no-code UI. Equalum also leverages open source data frameworks by orchestrating Apache Spark, Kafka and others under the hood. Tool consolidation and linear scalability without the legacy platform price tag. Go to dataengineeringpodcast.com/equalum today to start a free 2 week test run of their platform, and don’t forget to tell them that we sent you. You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data platforms. For more opportunities to stay up to date, gain new skills, and learn from your peers there are a growing number of virtual events that you can attend from the comfort and safety of your home. Go to dataengineeringpodcast.com/conferences to check out the upcoming events being offered by our partners and get registered today! Your host is Tobias Macey and today I’m interviewing Rob Collie about Microsoft’s Power BI platform and his

AI/ML Analytics BI Big Data Cloud Computing Data Analytics Data Engineering Data Governance Data Management Kafka Kubernetes Microsoft Power BI Cyber Security Spark Data Streaming
James Rowland-Jones – author , Brian Mitchell – author , Christopher Price – author , Dan Clark – author , Adam Jorgensen – author , John Welch – author

Tap the power of Big Data with Microsoft technologies Big Data is here, and Microsoft's new Big Data platform is a valuable tool to help your company get the very most out of it. This timely book shows you how to use HDInsight along with HortonWorks Data Platform for Windows to store, manage, analyze, and share Big Data throughout the enterprise. Focusing primarily on Microsoft and HortonWorks technologies but also covering open source tools, Microsoft Big Data Solutions explains best practices, covers on-premises and cloud-based solutions, and features valuable case studies. Best of all, it helps you integrate these new solutions with technologies you already know, such as SQL Server and Hadoop. Walks you through how to integrate Big Data solutions in your company using Microsoft's HDInsight Server, HortonWorks Data Platform for Windows, and open source tools Explores both on-premises and cloud-based solutions Shows how to store, manage, analyze, and share Big Data through the enterprise Covers topics such as Microsoft's approach to Big Data, installing and configuring HortonWorks Data Platform for Windows, integrating Big Data with SQL Server, visualizing data with Microsoft and HortonWorks BI tools, and more Helps you build and execute a Big Data plan Includes contributions from the Microsoft and HortonWorks Big Data product teams If you need a detailed roadmap for designing and implementing a fully deployed Big Data solution, you'll want Microsoft Big Data Solutions.

data data-engineering google-bigquery BI Big Data Cloud Computing Hadoop Microsoft SQL
O'Reilly Data Engineering Books
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