• Valerie Junk

Elevating Power BI Visualizations using DAX

Power BI is a powerful tool for data modeling, analysis, and visualization. Effective data visualization not only enhances decision-making but also empowers users, giving them a sense of mastery over their data.

This hands-on session helps attendees understand which actions they can take to improve Power BI visuals using DAX. While most people are familiar with DAX for creating measures on the fly, did you know it can also be used to create, for example:

- Dynamic Titles: Craft titles that adapt based on user interactions or selections, enhancing user-friendliness, interactivity, and context.

- Color Conditional Formatting: Employ DAX expressions to dynamically adjust data point colors in visuals, spotlighting target achievement and specific conditions.

- Dynamic Labels: Modify labels on-the-fly to offer a user-centric experience, adjusting values and colors as needed.

- Visual Tweaks: Refine visuals to meet specific business requirements and preferences. This includes fine-tuning data point granularity, creating more detailed labels, customizing tooltips, and defining data point interactions.

- Simplifying Visuals: Streamline visuals for a cleaner, more focused presentation.



Who is this session for?
This session combines theory and hands-on examples. Whether you're a data analyst or a business intelligence pro, this session shows you what is possible with DAX.

Why is it important?
This session offers not only a deeper understanding of DAX but also practical insights that can transform your reports and dashboards. The importance lies in empowering you to create user-centric, data-rich visuals that not only inform but also inspire action. By learning these DAX techniques, you're equipped to make a real impact on your organization's data-driven decision-making, elevating the value of your reports to new heights.

In a nutshell: Join this data-driven journey as we unlock the power of DAX, elevating your Power BI visualizations to new heights and providing your organization with data-driven insights like never before.

• Ásgeir Gunnarsson

Next Step Power BI Tabular model development

Today most people use Power BI Desktop to develop datasets. While Power BI Desktop is a great tool for the citizen developer it also has limitations. If you want to take your development skills to the next level, you should consider using Tabular Editor (free or paid version) to develop your data models.

Tabular Editor is a tool for developing tabular data models (Power BI or Analysis Services). It allows the developer to be more productive by separating the model metadata and the actual data. This allows for scripting, multiselect editing and best practice analyzing. Since you are only working with metadata it allows for easier integration with source control and DevOps.

This training day will help you transition from Power BI Desktop to Tabular Editor. You will be much more productive and will (optionally) be able to integrate data model development into DevOps processes. We will start by developing a simple data model and gradually introduce advanced data modelling techniques in Tabular Editor.

In this training the following topics will be covered:
• Benefits of Tabular Editor
• Perspectives and partitions
• Best practice analyzer
• Advanced scripting
• Deployment and DevOps
• Security (row and object level)
• Specific features of the sematic model not editable from Power BI Desktop

At the end of this training day the attendee will come away with the following knowledge:
• Why use Tabular Editor
• How to use Tabular Editor to develop tabular models
• How to further the quality of tabular models

For the best experience the attendees should have access to a Premium or Premium Per User workspace. If the user does not we will provide you with access to a premium per user workspace in our training tenant.

• Bence Czibulya
• Sara Piros

Adatelemzés és vizualizáció Pythonban Part 1

• Benni De Jagere

Using Fabric Lakehouse Data at scale with Power BI, featuring Direct Lake mode

Many companies have invested heavily in building data lakes to store large volumes of structured and unstructured data from various sources into Delta Parquet files. These Delta Parquet files can be used for a wide range of Analytics and Business Intelligence applications. Most of these organizations struggle to derive insights from their investments due to the complexity of accessing and querying the data, and how to let self-service users connect to this data in the lake using Power BI.

With the introduction of Microsoft Fabric, an all-in-one analytics solution for enterprises, we now have a better approach for this. In this session, we will explore how to use Lakehouse data at scale with Power BI, using the new Direct Lake connectivity mode. Power BI Direct Lake combines the best of both worlds from Import and DirectQuery mode, and gives us the option for great performance over data in the lake, without introducing additional latency for dataset refreshes.

We will start by discussing the benefits of the Lakehouse architecture and how it can improve data management and analytics. We will then move on to explore how to connect to Lakehouse data using Power BI by combining both of these architecture components and using each of them to their strengths.

We will also cover best practices for optimizing performance when working with large volumes of data, including using data partitioning and query optimization techniques. We will demonstrate how to use Power BI to analyze Lakehouse data in real-time and how to build reports that provide actionable insights for decision-making.

By the end of the session, attendees will have a solid understanding of how to leverage Lakehouse data at scale with Power BI and how to build powerful analytics solutions that can handle massive amounts of data. Whether you are a data analyst, data scientist, or BI professional, this session will provide you with valuable insights into the world of Lakehouse data and Power BI, featuring the new Direct Lake connectivity mode.

• Yvette Lovas

Adatvizualizációs alapozó és Best Practices Part 1

• Agnes Gyonyoru
• Zsofia Berendi

Bevezetés a Power BI használatába Part 1

• Attila Kővári

Power BI riportfejlesztés best practices

A workshop azoknak a középhaladó riportfejlesztőknek szól, akik már tisztában vannak az alapokkal, és olyan ezen túlmutató „nem technikai” tudásra is szükségük van, mint a hogyan mérje fel az üzleti igényeket, hogyan mit/kérdezzen a dashboard megrendelőjétől, hogyan tárja fel a forrásadatokat, hogyan kezdjen hozzá a tervezéshez, milyen kötelező elemei legyenek a dashboardjainak, mire kell figyelni ha felsővezetőknek készít riportot, hogyan minőségbiztosítsa a kezei közül kiadott munkát, hogyan ellenőrizheti a riporton megjelenő számok helyességét, stb. Mindent, ami technikai tudáson túl a sikerhez kell.

Ha már túl van az alapokon, akkor érdemes megismerni, hogy hogyan dolgozik egy profi, milyen módszerekkel áll neki egy dashboard megtervezéséhez, milyen best practice-eket, segédleteket, módszertanokat használ a riportfejlesztés során.

• Bence Czibulya
• Sara Piros

Adatelemzés és vizualizáció Pythonban Part 2

• Markus Ehrenmueller-Jensen

Data Modelling in Power BI – From Zero to Hero

You have collected your first experiences with Power BI and wondering why the performance of your reports is slow (even when working with a relatively small amount of source rows)? Maybe you are suffering from complicated DAX formulas (which can have their cause in non-optimal modelling)? Or you are just curious about what’s the secret behind the model view? In any case, this full-day workshop got you covered!
We will start with the very basic foundation and we will work step-by-step from concepts and practical examples to real world problems and how to solve them.
Module “Modelling 101”: Tables, Primary Keys, Foreign Keys, Normal forms, Dimensional modelling, Kimball, Inmon, Data Vault
Module “Modelling Options in Power BI”: Relationships, Cardinality, Cross-filter direction, Data Preparation with DAX , Data Preparation with Power Query
Module “Special Dimensions”: Time & Date, Role-playing dimensions, Hierarchies
Module “Real world examples “: Budgeting, Localized data models, Composite models

• Yvette Lovas

Adatvizualizációs alapozó és Best Practices Part 2

• Agnes Gyonyoru
• Zsofia Berendi

Bevezetés a Power BI használatába Part 2

• Bence Arato

BI Trendek 2024-ben

Az előadás áttekintést ad az idei év legfontosabb BI trendjeiről és eseményeiről.
- Piaci körkép
- BI szállítók helyzete és stratégiája
- Technológiai innovációk
- Az adatvizualizáció újdonságai

• Regina Deák-Meszlényi

BI stratégia és adoptáció a Continental Autonomous Mobility üzletágában

Az előadásban bemutatjuk mit jelent globális multinacionális vállalatoknál az adatvezérelt irányítás bevezetése, különös tekintettel az elfogadás és alkalmazás nehézségeire.

• Tamas Polner

Quicker time to insights with Copilot in Microsoft Fabric

Copilot is integrated in several parts of the development process in Microsoft Fabric and Power BI. The session shows some examples on who Copilot can be used in different part of the BI development process in order to provide better insights faster to the business users.

• Mihaly Kavasi

PBIR: Report Development by Code

This talk will describe my initial experiences with the new PBIR report format, covering possibilities and limitations.

• Elena Drakulevska

Design Mistakes and How to Avoid Them

Creating reports is easy, but creating exceptional ones requires attention to detail and a few hidden tips and tricks. Want to learn how to avoid these mistakes and elevate your Power BI report design?

Then this session is for you! We'll discuss the top three mistakes that can undermine your efforts and we'll provide real-world examples and practical tips to ensure your reports are both functional and visually stunning.

- Mistake #1: Visual clutter – Strategies to avoid overwhelming your audience
- Mistake #2: Poor color choices – Tips for selecting effective color palettes
- Mistake #3: Inconsistency - How to maintain a consistent design language across your reports

Bonus:
Attend to uncover an additional common mistake to avoid and gain further insights to transform your report design skills and create reports that truly stand out!

• Máté Gaál
• Erika Burdohán

Felhők felé: Egy nagyvállalati Power BI migráció története

Utunk történetét meséljük el, amely során on-premise Power BI környezetünket a Power BI Service-re migráltuk. Milyen kihívásokat rejtett stratégiai, szervezeti, technikai és felhasználói szempontból? Hogyan boldogult a multi-mamut a felhők feletti kihívásokkal? Mesélünk Jóról, Rosszról és a Csúfról is és a következő részek tartalmaként megosztjuk mit várunk a Microsoft Fabric-tól.

• Marcell Markus

Elevating BI Transformation: AI-Powered Migrations from Python to Power BI

Today companies are running numerous BI/Analytical migration projects to have the best solutions based on the latest technologies. To meet this demand, BI Analysts and developers need to transition from one programming language or tool to the new ones in a very short timeframe while keeping quality and efficiency in mind. Due to the rapid boost in available tooling options, it becomes very challenging to find the right combination of expertise for such migration projects. In this case study, I will demonstrate how this gap can be filled with the help of the AI which was applied to boost the migration from Python to Power BI. The application of AI resulted in substantial savings in efforts, resources, and successfully delivered the envisioned solution to the business.

• Zsolt Pál

3D data visualisation: evolution and potential future

Our presentation will cover the history and evolution of 3D data visualisation, highlighting its early use in tools such as Excel and its development over time. The main differences between 2-dimensional and 3-dimensional data visualization will be presented, as well as how data visualization principles are often contrasted with 3-dimensional data visualization. We then examine how AR and VR impact 3D data visualisation. We also touch on the area of data physicalization, which is closely related to our topic. We will present our recent experiments with 3D printed models built from instant payment and meteorological data that literally provide tangible data representations to the audience.

• Minkó Mihály
• Peter Trembeczki

TELEKOM X MOME: Adatművészet és üzlet

Az előadás bemutatja a Magyar Telekom és a MOME együttműködésében megvalósuló képzési és adatművészeti projektet

• Valerie Junk

Storytelling & Power BI - Creating Power BI reports that connect with different audiences

Designing a report that will be viewed and used by different audiences can be challenging. You want to present information in an actionable, informative, and visually appealing way. However, users across an organization may have various requirements and Power BI experience levels. While some users need detailed information presented in different dimensions with possibilities to filter and drill through, others may only look for key performance indicators. Some users like to click through a dashboard to see specific information, while others want to print it or have a quick look on the phone to see the most relevant information.
This session covers steps you can take to understand the needs of different audiences. Topics covered are:

- Techniques and questions you can ask to understand your audience and to gather the report requirements.
- Examples of different visualizations (and ways to format them) to communicate with different audiences and get your message across
- Providing a consistent look and feel (with templates and color schemes) to reduce the cognitive load when looking at a report
- Best practices & tips to design actionable, informative, and easy-to-understand reports.

By the end of the session, attendees will understand better how to create a Power BI report that connects with different audiences across an organization.

• Benni De Jagere

Troubleshooting Power BI Reports

So you've built a Power BI report with all the shinies? Good!
After some usage, users have reacted that it's a bit sluggish in usage, and they're not keen on using it anymore.

Starting off with the new Performance Analyzer Pane, we'll demonstrate how you can pinpoint bottlenecks in your report, and take actions on these insights.
With the myriad of root causes that are out there, an elimination approach might suit us very well.
Some of the main causes will be explained, and we'll get you going on how you can fix it for yourselves.

This talk will place emphasis on leveraging external free community tools to assess the state of the data model, and go further on fixing the groundworks of your solution.

Attendees should note that is not a DAX Deep Dive class, before wandering in :-)

• Damla Çay

Data-Driven Collaboration: Utilising design methods for data visualization and storytelling

How can we make the decisions collaboratively while developing a new data-driven platform to craft a data-driven narrative? In this session, we will see an overview of projects that utilise design methods for data-driven collaboration.

• Attila Komor
• Gergely Szalai

Hogyan költöztessünk komplex BI környezetet?

A vállalok életciklusában előfordulnak néha házasságok, szakítások, szétköltözések, amelyek komoly hatást gyakorolnak a működést támogató rendszerekre, így a BI-ra is. Jelen esetben egy magyar telco cég a nemzetközi anyavállalatról történő leválása indukálta többek között a BI rendszer migrálást, ebben az előadásban pedig az ezzel kapcsolatos kihívásokat és bevált gyakorlatokat mutatjuk be, talán nem túlózva azzal, hogy a migráció eredményeképpen Magyarország egyik legkomplexebb Qlik Sense installációja jött létre. Azt is bemutatjuk, hogy meglátásunk szerint ez miben "jobb / rosszabb" - egyszóval más - , mint egy PBI megvalósítás.

• Maya Ben Dov
• Michal Foster Heldy

Mastering Mobile Reports Design: Best Practices and Special Cases

In the ever-evolving world of data analytics, the ability to harness your insights on the go is not just a luxury but a necessity.
The Power BI Mobile Layout design option has undergone remarkable improvements, granting report creators unprecedented flexibility to craft visually stunning and productive reports for users constantly on the move.

In this session, we invite you to explore the reimagined landscape of mobile report design.
We will provide a comprehensive guide to the best practices, catering to both the traditional and the cutting-edge capabilities.

Whether you are just starting your Power BI journey or are a seasoned pro, this session will equip you with the insights and skills needed to create reports that are as beautiful as they are functional, ensuring that data-driven decision-making remains within your grasp, no matter where you are.

• Markus Ehrenmueller-Jensen

A Game of Hierarchies – Hierarchies and Graphs in Power BI

Hierarchies (and graphs) are the bread and butter of most business applications and you find them almost everywhere:
* Product Categories
* Sales Territories
* Calendar and Time
* Paths on a map
In Power BI Desktop you can transform such data into useful information via several approaches: standard & custom visuals, hierarchy slicers, hierarchies in the data model, parent-child hierarchies, etc.
Join this session for a journey through best practices to transform your hierarchies (and graphs) into useful reports. We will have fun playing around with a sample database based on G. R. R. Martin’s famous “A Game of Thrones”.

• Bence Arato
• Attila Kővári
• Erika Burdohán

BI Success kerekasztal

Mitől lesznek sikeresek a BI projektek?

Mekkora szerepet játszik ebben a jó stratégia, az fejlett technológia, a magas szintű szakértelem, az érett vállalati adatkultúra?

A nap zárásaként erről fogunk beszélgetni előadóinkkal közösen.

• Martynas Jočys

Mastering Bookmarks in Power BI: all you need to know

Bookmarks are a very powerful feature in Power BI which allows for wide functionality, and sparkling creativity. Yet, most developers still don't use its full potential. While Bookmarks are celebrated by report design gurus for making nice-looking pop-up menus, they have more to offer.
During this session I will overview the most awesome use cases for bookmarks I've seen so far and will have a demo on how to create them: you'll see them solving complex filters, making layouts more user friendly and of course - popping up menus which are easy to maintain (I mean it).
However, the point of this session is not to give a step-by-step guide - by understanding the details on how bookmarks work you will be able to incorporate them into your reports more seamlessly and invent use cases by yourself!

• Andrea Martorana Tusa

Advanced semantic models refresh automation

Take full control over your semantic model refresh automation. Usually, in your daily planning there’s a gap between your data source data availability and the scheduled refresh on the Power BI service. This is caused by the impossibility to directly connect the semantic model refresh to a pipeline.

How to bridge that gap? How to trigger a Power BI semantic model refresh as the final step of a full ETL process? There are several ways to achieve it. It is possible to invoke the Power BI APIs in combination with tools such as Power Automate, or to run some Powerhell scripts, for example.

Furthermore, you can go deeper with the Dataset API, triggering only a specific table or even a single partition. Not the full semantic model, saving time and resources on your system.

In this heavily demo-based session, many examples of automation are showcased based on real cases of implementation in Pandora. You will see how to:

-Trigger a semantic model refresh using Power Automate
-Post a semantic model refresh using Power BI API and Power Automate
-Post a semantic model refresh from Logic App
-Trigger a semantic model refresh using Powershell
-Trigger a single table or partition refresh in your semantic model using XMLA endpoint and SSMS
-Handle advanced incremental refresh with the XMLA endpoint and the Tabular Model Scripting Language
-Trigger a single table or partition refresh in your semantic model using the enhanced dataset API
-Trigger a refresh from an Azure Data Factory / Synapse Analytics pipeline

• Rui Romano

Semantic Modeling as Code using Power BI Developer Mode

The landscape for developing enterprise-scale models has never been more exciting than it is now! Developer mode in Power BI Desktop and the new TMDL language unlock new scenarios that previously weren't possible, such as great source control and co-development experiences with Git integration. Additionally, the TMDL Visual Studio Code extension offers a new, powerful and efficient, code-first semantic modeling experience. Join us to discover the new and powerful ways you can leverage TMDL to accelerate your model development, and get a sneak peek into the TMDL roadmap from the Power BI product team.

• Sophie Sparkes

Data is Emotional

Sophie's talk, "Data Is Emotional," challenges the traditional view of data as cold and impersonal. Discover how to use data visualisation to evoke emotions, make connections, and take action. By embracing the human element in data design, you can create visualisations that not only inform but also inspire and engage your audience. Learn how to help people feel and understand their data more deeply.

• Ben Ferry

Deneb, the star of data visualisation

Deneb is a powerful custom visualisation in Power BI, which allows us to build precise bespoke visualisation without the limitations of standard Power BI visuals. However there is a learning curve to overcome.

This session helps break down that barrier and show the steps to being proficient in the required skills are not that steep.

We will look at the first steps into Vega-Lite, one of the languages used in Deneb, and break down the basic components needed to build your first visuals and beyond.

• Martina Zunica

Best Practices for Dashboard Design

Discover how to transform data into captivating stories with clear, readable charts. Leveraging best practices in data visualization, let's infuse creativity into your dashboards, enhancing beauty and accessibility.

• Attila Goz

BI és mesterséges intelligencia Tableau módra

A nemrég megjelent új Tableau+ már a mindennapi munkafolyamatokba integrálva segít, hogy megalapozott döntéseket hozzunk - méghozzá mesterséges intelligenciával támogatott elemzések és vizualizációk segítségével.

• István Mészáros

Mitzu - Self service BI for SaaS KPI Monitoring

A SaaS vállalkozások 90%-a ugyanazt a 15 KPI-típust figyeli.
A Mitzu egy új generációs BI eszköz, amely lehetővé teszi a leggyakoribb diagramok készítését adatelemzők segítsége nélkül.
Közvetlenül a vállalat a felhőalapú adatközpontja felett működik, és automatikusan generál SQL kódot a leggyakoribb üzleti lekérdezésekhez.

a technológia.90% of SaaS businesses monitor the exact same 15 KPI types. Mitzu is a next-gen BI tool that lets you craft your dashboards and charts without a help of a data analyst. It works on top of your cloud data warehouse autogenerating SQL code for the most common business use cases.

• Nikola Ilic

Unpack VertiPaq - Understanding "Brain & Muscles" behind Power BI

Have you ever wondered what makes Power BI so fast and powerful when it comes to performance? So powerful, that it performs complex calculations over millions of rows in a blink of an eye.

In this session, we will dig deep to discover what is under the hood of Power BI, how your data is being stored, compressed, queried, and finally, brought back to your report. We will also cover some core concepts that affect Power BI performance, such as Aggregations, Materialization, and Relationships.

After the session, you will get a better understanding of the hard work happening in the background and appreciate the importance of creating an optimal data model in order to get maximum performance from the Power BI engine.

Finally, you will see a real-life demo showing how the Power BI data model was reduced by 90%!

• Andy Cotgreave

What's the right chart? Apply the L.E.V.E.R.S. model for success

What's the right chart for your data? It depends.

That's been Andy's mantra for a decade. But WHAT does it depend on?

In this session, Andy will share the ways you can push or pull the message and emotion behind a chart in six different ways. It's his L.E.V.E.R.S. model.

• Francesco Puppini

Semantic Layers for Business Intelligence and LLMs

In this session you will learn about the CONTEXT that a semantic layer needs to provide, in order to turn a business question into a correct SQL query. The same semantic layer can be used either by a BI tool, or by a Large Language Model. There are some important differences between these two, but there is also a lot in common. Is it possible to define a CONFORMED CONTEXT?

• Ollie Hughes

Count: A collaborative BI Canvas

This talk will introduce Count, a next generation BI tool which allows teams collaborate on an infinite analytics canvas.

• Injae Park

The Cost of a Workaround - Key considerations for Power BI

From using SVGs or DENEB to create unique visuals, to page level security with RLS - workarounds are often necessary to overcome limitations and achieve desired functionalities in Power BI. However, these workarounds come with their own set of costs and considerations. This session discusses the key factors to help developers evaluate workarounds in Power BI, ensuring that the benefits outweigh the potential drawbacks.

To do this, we will explore some real-life workarounds in Power BI such as code-based Custom Visuals (DENEB, SVGs, HTML, Python), Page level security, and storing a custom PowerQuery library in Github. We will also dive into the trade-offs involved, including maintainability, impact on development, and technical debt.

This session is aimed at the intermediate Power BI Developer, to help them answer the question - Should I use this workaround? Attendees are encouraged to have some experience with custom visuals and PowerQuery with the Advanced Editor.

• Norbert Borbás

Data Viz Community Challenges: Benefits for joggers and marathonists

Keeping up with the fast-paced world of data can be challenging, but what if our data communities got us covered?

In this session, Norbert will explore how data analytics challenges provide the perfect platform for skill development.

He’ll share his journey of creating over 50 visuals in a year-long data visualization challenge, offering ideas for You and your Data Teams.

• Nicolas Rehder

Fighting Foodwaste with Fabric and AI

As part of the global fabric AI Hackathon we built an end-2-end solution to help combat foodwaste in your kitchen.
The solution allows users to scan products that go into the fridge, send that information to a fabric notebook that then uses AI to estimate the expiry date and store the product in a virtual fridge. A semantic model then forms the basis for a reflex that triggers when food is about to go off and in turn triggers a power automate flow that uses AI to invent tasty recipe ideas with the food that needs to be uses up pronto, plus other ingredients that are in the virtual fridge.

In this presentation we will walk viewers through the architecture involving Power Apps, AI Builder, Power Automate, Azure Open AI, Fabric Lakehouse, Notebooks, Semantic Models and Reflex. We finish off the session with a demo of the fine tuning capabilities of open ai to create your own custom master chef.

Best of all? Attendees will receive a link to a github repo and video tutorial to rebuild the solution in their own time!

• Jason Forrest

Any Which Way You Can: A New Era of Dataviz in Business

Since the rise of data journalism, dataviz is far more than BI tools and reports. A walk through the various forms and formats of dataviz I've helped create for business leaders to aid in decision making.

• Philipp Rudiger

The most flexible data application framework

In the world of Python web applications, HoloViz Panel stands out for its flexibility, customizability, and extensibility—qualities that empower data scientists, developers, and researchers to build sophisticated, interactive, and high-performance dashboards and data applications. I will focus on what sets Panel apart from its competitors and emphasize the unique advantages that make it particularly well-suited for complex visualization needs and deeply customizable applications.

This talk will introduce Panel, outlining its core capabilities and architecture, which supports seamless integration with Python's powerful data ecosystem. We'll explore Panel’s latest developments, including the new ESM component support, which enhances the framework’s ability to integrate custom JavaScript and third-party libraries seamlessly for even greater flexibility in frontend interactivity and design. Finally, I’ll share resources, demos, and code repositories to help you dive deeper into Panel’s growing ecosystem and discover how it can meet your specific visualization needs.

• Chris Laffra

PySheets: The Spreadsheet UI for Python

PySheets is an open-source technology that enables Python to run inside a spreadsheet in the browser. It runs on your own machine from PyPi or is hosted on https://pysheets.app. PySheets runs data science workflows in the browser using PyScript and Wasm. Sheets are stored in the browser using IndexedDB, while code completions for Pandas analysis and Matplotlib visualizations are generated with an AI. The result? A local-first data science environment without kernels or cloud storage. All data stays entirely local on your machine. Unlike Jupyter Notebooks, your workflow dependency graph can finally be visualized as a familiar spreadsheet.

• Michael Kovalsky

Optimizing and automating Microsoft Fabric scenarios with Semantic Link Labs

This session will focus on demonstrating key features of Semantic Link Labs, a python library for Microsoft Fabric notebooks. Semantic Link Labs can significantly boost productivity and automation processes for your company, letting humans focus on higher-level tasks which truly require a human while machines do the rest.

https://github.com/microsoft/semantic-link-labs

Knowledge of python is not required.

• Saloni Shah

Navigating from Visualizations to Dashboards in Climate Data Analytics

This session will guide you through a user-centric approach to data visualization, taking you from understanding user needs to crafting impactful visualizations that meet their goals. We'll explore a step-by-step process that emphasizes user research, data exploration, and design, teaching you to identify user personas, decision-making data, and pain points, before building visualizations or dashboards that provide clear and actionable insights.

• Myles Scolnick

marimo: an open-source reactive notebook for Python

We introduce marimo, an open-source reactive notebook for Python that addresses several common complaints about first-generation notebooks.

https://github.com/marimo-team/marimo

marimo notebooks are reproducible, with a reactive runtime that eliminates hidden state; interactive, with UI elements that are automatically synchronized with Python (no callbacks); expressive, supporting markdown that can be parametrized by arbitrary Python values; stored as pure Python files, so they are Git-friendly; executable as scripts; and shareable as web apps or WASM-powered static HTML.

marimo is used today by scientists and developers at several companies and research institutions, including SLAC and Stanford.

• Allison Horst

Building faster interactive data visualizations with Observable

Observable Plot is an open source JavaScript library for data visualization, built on (and by the creators of) D3. In this talk, I’ll introduce Plot through examples and comparisons with comparable grammar of graphics implementations in other languages (e.g. ggplot2 in R, and plotnine in Python). Then, I’ll describe how Observable’s data loaders and architecture help you build and ship faster, richer interactive charts made with Plot, D3, and beyond.