• Bence Arato

BI Trendek 2023-ban

• Máté Gaál

Adatalapú Vállalati Tervezés: Van-e élet az Excelen túl?

Képzeljük el, hogy excel file-ok segítségével, összevissza adatokkal és egy bonyolult tervezési folyamattal kell megküzdenünk egy olyan cégben, ahol több mint 5000 ember dolgozik. Pont ebben a helyzetben voltunk, amíg el nem indultunk az átalakulás útján, amely egy új, testre szabott tervezési rendszer bevezetéséhez vezetett.

Vitassuk meg ezen gyakorlati példán keresztül, hogy:

Miért volt szükség a változásra: Miért kellett áttérnünk valami jobbra az Exceles tervezésről.
A változás menedzselése: Elmesélem, hogyan építettük fel a rendszert és alkalmazkodtunk az új tervezési módszerhez.
A ma előnyei és tanulságai: Káoszból rendet teremteni ilyen egyszerű volna?
A jövő biztosítása: Hogyan segített ez nekünk, hogy hatékonyabban vezessünk be BI és Machine Learning megoldásokat.

Ez egy őszinte visszatekintés lesz erre az utazásra és arra, hogy vajon sikerült-e valóban túllépnünk az Excel használatán, vagy továbbra is a háttérben ólálkodik a nagy visszatérését tervezve?

• Mathias Halkjaer

A deep dive into Direct Lake

The new Direct Lake storage mode in Power BI promises to revolutionize data handling by blending the real-time nature of DirectQuery and the high performance of Import mode. Is this all just hype, or does Direct Lake truly deliver on these claims?

In this session, we will put Direct Lake under the microscope, conducting comprehensive performance testing across varied data sets and query types. We aim to stress test Direct Lake, uncovering where it meets expectations, where it excels, and where it has room for improvement.

The key areas we'll explore are:

• Direct Lake: Understanding what we know about the engine
• Analyzing performance across different scenarios
• Strengths and weaknesses
• Advice for data modelling for Direct Lake

By the end of this session, you'll have a well-rounded understanding of Direct Lake's capabilities, potential for your Power BI data modelling projects.

• Júlia Borsi

Accessibility in Data Visualization

Accessibility refers to designing and developing digital products and websites that are easy to use and understand for people with disabilities. The talk will focus on a description of disabilities, techniques, and standards based on existing guidelines in data visualization and what is possible today in the two industry-leading BI tools, Tableau and Power BI.

• Róbert Pad

A Power BI Product Owner első 100 napja

A Power BI egyre több vállalat életébe férkőzik be, egyre több fejlesztő használja és egyre nagyobb fókuszt kap a felhasználói oldalon is. A kérdés csak az, hogy milyen módon épül be a mindennapi operációba: érkezhet ad-hoc jelleggel, foltokban megjelenve a szervezetben, illetve kerülhet bevezetésre kontrollált módon is.

Elmesélem, hogy milyen kihívásokat és feladatokat kell megoldania egy Power BI Product Ownernek, beszélek a legfontosabb témakörökről, rávilágítok a rövidtávú célokra és természetesen azonosítjuk azokat a pilléreket, amelyek a hosszútávú stratégia részét képezik.

Felhős megoldás, Premium Capacity, workspace struktúra, deployment pipeline-ok, access control, community, riport katalógus, IBCS, fejlesztői template és guideline, edukációs tervek, external tool-ok, metadata monitorozás.

Akár bevezetés előtt állsz, akár már folyamatban van az integráció, esetleg csak megnéznéd, hogy más vállalatnál hogy működik, ez a prezentáció betekintést enged a Power BI ökoszisztémába a Product Owner szemszögéből.

• Attila Kővári

Ideje újra felfedezni az Excelt

Az Excelt minden valamire való BI-os gyűlöli. Pedig az Excel nagyon jó ad-hoc elemzőeszköz. Sőt! Megkockáztatnám, hogy a legjobb. Csak nagyon máshogy kell használni, mint ahogy most használjuk.

Ezzel a szemfelnyitó előadással azt szeretném bemutatni, hogy hogyan illeszthető bele az Excel egy nagyvállalati BI architektúrába, hogyan/hol veri kenterbe a csodalatos és közkedvelt Power BI-t és átbeszéljük majd, hogy az utálat tárgyát képező hiányosságok terén mit lépett a Microsoft és hogy hol tart az Excel 2023-ban. Mindezt egy olyan BI-os szemüvegén keresztül, aki ismeri a Power BI-t is.

• Mathias Thierbach

Power BI CI/CD Options in 2023

As Power BI is being adopted by more and more businesses, there is a growing number of technical data management teams finding themselves with a desire to implement DevOps/DataOps principles and practices as part of their delivery process. CI/CD pipelines are an integral part of those systems, and for a long time Power BI was lacking suitable CI/CD capabilities. This situation has changed significantly in 2023, and several viable solutions are now available, both from Microsoft as well as from external tools.
This session provides an annotated overview of the Power BI CI/CD landscape in 2023. Looking at datasets, reports and other workspace artifacts, attendees will learn which options are available and what it takes to implement them. Advantages and disadvantages are explained as well as licensing requirements.
Mathias is uniquely qualified to present this topic: His open-source tool, pbi-tools, pioneered source control and CI/CD capabilities for Power BI. Earlier in 2023, Mathias contributed the new TMDL declarative data modeling language to Power BI, specifically to enhance the ability manage Power BI projects with DevOps tooling and enable enterprise-level collaboration scenarios. For anyone getting started with CI/CD for their Power BI projects as well as existing practitioners interested in updating their technical understanding of today's capabilities, this session is a must.

• Roman Tesolkin

Turning Data into Influence: Lessons from Disney+ Inspired Visual Storytelling in Power BI

Join me for a captivating journey where data meets storytelling magic. This session draws inspiration from Disney+ to illuminate the art of visual storytelling in Power BI. I'll uncover the secrets behind crafting compelling narratives from data and learn valuable lessons to captivate, inspire, and influence with your visualizations.

I will be covering six major topics:

Explore the core principles of storytelling and how they apply to data visualization
Learn techniques for designing captivating Power BI dashboards that engage your audience
Discover how Disney+ uses storytelling to create immersive experiences and how to apply these concepts in your data presentations
Dive into the process of transforming raw data into a narrative that resonates with your viewers
Explore techniques to create interactive elements that draw your audience into the data story
Learn to communicate data-driven insights effectively, inspiring action and decision-making

At the end of the session, you will be able to:

Dive into the realm of data storytelling and visually captivating Power BI dashboards, inspired by Disney+. Gain the skills to steer data-driven choices, optimize data transformation, craft interactive visualizations, and excel in influential data communication, sparking action and transformation.

• Dávid Petróczy

A Power BI sikeres bevezetésének kulcsa

Az előadás a Morgan Stanley Power BI bevezetési projektjének tapasztalatairól számol be.

A főbb témák a következőek lesznek:
- A riportfejlesztői és az üzleti (felhasználói) oldal szinkronja (business alignment)
- Kinek a kezében legyen, illetve ki menedzselje az adatokat és az ezekből táplálkozó riportokat (content ownership & management)
- Tudásmegosztás és felhasználótámogatás (mentoring and user enablement

• Fanni Gaal
• Zsolt Ispán

Hogyan tovább? Élet a BI bevezetésen túl

Mi történik akkor, amikor véget ér a bevezetés időszaka? Milyen teendői vannak egy BI szervezetnek, amikor a felhasználók mindennapi munkavégzésének részévé vált a bevezetett BI eszköz? Be van fejezve a nagy mű - az alkotó pedig dolgozik tovább!

A bevezetés éveinek eseményei helyett végigvesszük a következő évek új kihívásait, ezek közül két fókuszterületet kiemelve:
1. Adatminőséggel kapcsolatos megnövekedett elvárások: időzítés, adatok rendelkezésre állása, adatminőség. Bemutatjuk a terület jelenlegi állapotát, fejlesztési irányokat, az ezek támogatására szolgáló folyamatokat és eszközöket.
2. Megnövekedett üzleti igények kiszolgálásának kihívásai: új típusú igények és felhasználók megjelenése, self-service megoldások, edukáció.

Az előadás keretén belül a MOL Csoport példáján keresztül betekintést nyújtunk egy érett BI szervezet életébe a fenti kérdéskörök mentén.

• Gregor Brunner
• Klaus Jürgen Folz

Optimize and clean golden datasets in Power BI

Once we publish datasets and reports and our tenant starts to grow, it can get harder and harder to see which data is actually in use.

Golden datasets are a central piece of every BI architecture and can consume a lot of processing power and memory in a Power BI Premium capacity. So far, we have very limited options to optimize these datasets.

With the latest version of "Measure Killer", an external tool for Microsoft Power BI, we can analyze artifacts in the service. Measure Killer will find all reports connected to a dataset and analyze which columns and measures are used in which report. It will also identify the part of the data model that is not used at all.

Measure Killer lets you clean your model in an automated way (deleting unused measures and columns) and can generate a detailed documentation of your model and report.

The actions outlined above will improve performance, reduce refresh times and thus help you optimize your Power BI tenant.

This session is meant for any Power BI admin, developer or architect. You will learn how to optimize a centralized dataset in your Power BI tenant.

• Valerie Junk

Paint it Black: Rocking Dark Mode Dashboards

Designing Power BI reports can be tough; designing them in a different way than the old-school white background and standard Power BI color scheme can be even harder. Most people are afraid to use something other than the standard provided; however, designing a dashboard in a dark mode style (black or dark color background) is not only aesthetically better (okay, personal opinion 😉) but also can enhance user experience. Just think about working with tools that all have dark mode all day and then suddenly opening a Power BI report brighter than the sun. Who wants that?

The session aims to guide the audience through the process of designing a Power BI report that is presented in dark mode. From selecting appropriate visual elements to optimizing readability and accessibility, guidelines will be presented to create stunning visualizations that leave a lasting impression. And, of course, there is also some advice on how to sell this to the business!

Key topics
- Understand why a dark design can actually be beneficial
- Learn about the art of contrast and effective color choices
- Tips to increase readability and ease for the eyes
- Best practices in general when designing in Power BI
- How to sell this to the business

• Péter Szécsi
• Máté Kővágó

Power BI riportok utókövetése

Az előadás a Power BI felhasználói statisztikákról, Power BI riportok utókövetéséről, valamint licenselési kérdések megválaszolását támogató kimutatásokról fog szólni.

Az előadás kezdetén bemutatjuk a Power BI-ban megtalálható alapvető megoldásokat ezen területeken. Ezt követően részletezzük, hogy cégünk milyen egyedi igényeket vázolt fel, amelyekre a hagyományos, előre elkészített kimutatások már nem nyújtanak elégséges választ.

Az előadás második részében vázolnánk, hogy milyen terveket találtunk ki ezen egyedi, kibővített kimutatások elkészítésére. Bemutatnánk a Power BI REST API képességeit, hogy segítségével milyen részletességű adatokhoz lehet hozzáférni. Megosztásra kerülne az architektúra, amely segítségével automatizált módon end-to-end lekérjük az adatokat, adatbázisba letároljuk, majd Power BI segítségével vizualizáljuk az egyes statisztikákat.

Az előadás zárásaként egy demót is bemutatunk, hogy milyen kimutatásokat sikerült létrehoznunk ezen megközelítéssel. Emellett érintjük a továbbfejlesztési lehetőségeket is.

• Péter Takács

Az adat szerepe a gyorséttermi user journey-ben

Hogyan kaphatunk 360 fokos képet a vásárlói életútról, szokásokról a gyorséttermi környezetben?

• Markus Ehrenmueller-Jensen

Do You Speak English? Localized Reports with Power BI

Even when we live in a global world your end-users might expect to get their reports in their own local language. This talk is guiding you through the available options and necessary steps to give the report user control over the language:
• Content of textual columns
• Headlines
• Currency
• Model (names of tables, columns and measures)
• Power BI Desktop and Power BI service
You will learn to extend Power BI’s data model to allow for multi-language support of column content and headlines (and how you can automate the translation of the texts with Azure Cognitive Services). I will show you how you can implement currency conversion and how to translate the model’s meta data. Finally, we look at how to change the language in Power BI Desktop in in Power service.

• Dora Szabo
• Alexander Pavlov

From tracking what we can, to tracking what matters

A collaboration journey between Data and Product

What happens when a young SaaS product team gets their own dedicated Data Scientist? How do you start out and what can you do when you realize that the main obstacles and constraints are very different from what you expected? The capacity for quick delivery of analyses and charts on its own does not turn magically into clear and useful insights for the Product Manager and their team. However, once a team starts to see data as an ally and has the right metrics they can better influence plans and transform discussions. But how do you bridge this gap?

In this talk both sides (PM and DS) get to tell their own story, revisit together the stages and how the collaboration between Product and Data progressed. We will share our most important learnings and challenges we gathered during this 18 months journey at Shapr3D.

• Alexandra Holle

Dashboardok az Országgyűlés szolgálatában

Hogyan használhatók a dashboardok az üzleti szférán túl? Az előadásban erre hozok példát, bemutatva a parlamenti kutatószolgálat szakpolitikai témákról készített anyagait. Az esettanulmányban kitérek arra, hogy:
• mitől speciálisak az országgyűlési képviselők számára nyújtott kutatási és információs szolgáltatások,
• milyen nemzetközi és hazai példák inspirálták, hogy dashboardokkal bővítsük ki a parlamenti kutatási szolgáltatásokat, és
• milyen sajátos kihívásai vannak a dashboardok üzleti környezeten kívüli alkalmazásának.

• Gergely Vasvári
• Fanni Gaal
• Máté Gaál
• Attila Kővári
• Péter Szécsi

Enterprise BI kerekasztal

Beszélgetés a válllati BI aktuális kihívásairól, az örökké változó felhasználói igényektől a ChatGPT hatásáig.

A kerekasztal vezetője Kelemen Márton (Inivate) lesz.

• Marco Russo

DAX Studio crash course

If you use DAX for any reason, you must use DAX Studio, a free open open-source tool you cannot afford to ignore. See what you can do with this tool and why it can increase your productivity by writing, debugging, and optimizing DAX code.
You must know DAX to attend this session. Previous painful experiences working with the DAX formula editor in Power BI, Visual Studio, and Power Pivot are suggested, but not necessary. Even though you already use DAX Studio, you might discover some hidden gems, too!

• Zsolt Pál
• Dániel Kuttor

Adatvizualizáció nagy méretű kijelzőkön

Gyorsan digitalizálódó világunkban a hagyományos digital signage megoldások (pl. gyorséttermi menü megjelenítése) mellett egyre elterjedtebbé válnak az – elsősorban irodai környezetben – adatokat megjelenítő nagyméretű digitális kijelzők. Az ilyen felületre szánt dashboardok építése új kihívások elé állítja az adatvizualizációs szakértőket, mivel a normál üzleti dashboardok összeállítása során alkalmazott technikák ebben az esetben legtöbbször nem célravezetőek.

Előadásomban a nagyméretű képernyőkre szabott műszerfalak kialakításának sajátosságait, jó gyakorlatait tervezem ismertetni, különös tekintettel az statisztikai információk struktúrájára, a történetmesélés jelentőségére, az interaktivitására és az információ befogadásának gyakorlatára. Emellett egy esettanulmányon keresztül bemutatom egy konkrét dashboard fejlesztésének kihívásait és megoldásait.

Azt kívánom hangsúlyozni, hogy a hatékony vizuális adatelemzés nem pusztán az adatok ábrázolásáról szól, hanem arról, hogy az adatokat a felhasználók számára intuitív és használható információ-csomaggá alakítsuk – ami különösen fontos, ha nagyméretű kijelzőkön, esetleg interakciót nem lehetővé tevő módon kerülnek bemutatásra.

• Daniel Marsh-Patrick

Deneb: Declarative Visualization in Power BI

Deneb is a certified custom visual for Power BI that lets you create your own bespoke visuals right inside Desktop using either the Vega or Vega-Lite visualization grammars. Visuals can be prototyped and iteratively developed using their declarative JSON-based languages and this provides a ‘code-like’ experience where you are not constrained to a specific type of chart.

Whilst this methodology is more in-line with the inbuilt R & Python visuals, Deneb addresses several shortcomings with those approaches where integration or deployment are concerned - providing support for interactivity, publish to web, mobile reports and exporting to PDF - running anywhere a certified custom visual can.

In this session, we will provide a short introduction to the visual and highlight some of the key features.

• Imre Ruskal

Microsoft Fabric bevezető

Az előadás bemutatja a Microsoft új SaaS alapú Data és BI platformját, a Fabricot.

• Roland Szirmai

How to reduce costs & build new analytics capabilities in Power BI with Power Automate

There are lots of steps involved in a modern BI workflow before users can draw insights from the data available. Most of these steps are usually very dull and may not require an experienced and expensive resource to complete them. This means that without proper automatization in the process, organizations are burning cash on human resources that could be utilized better.

This is where Power Automate can help report developers and end users. With the help of this fantastic tool, creators can automate certain steps in the data acquisition, cleansing, and usage steps. If you think that your company has processes where automation could bring some savings, join in for this intro session to BI automation using Power Automate.

• Thomas Hütter

50 ways to show your data with R

„A picture is worth a thousand words“ - well, that is especially true when it comes to analyzing data. Visualization is the quick and easy way to uncover the big ‘picture’ in your data and the R ecosystem has a lot to offer in this regard.

They may not add up to exactly 50, but in this session I’ll show you lots of compelling visualizations produced with the help of the ggplot2 package and friends - and their usual small effort of code. We will start beyond the usual bar, line or scatter plots.

Instead our screen will show diagrams that always made you think „How do they do that?“. We will see waterfall diagrams, violins, parliament diagrams, marginal histograms, maps and more… and you’ll get the code to reproduce everything.

• Dénes Csala

Finding the perfect blend of text and data

The Economics Observatory is a science communication outfit set up for distilling complex concepts for governance, academica and the public. We advise governments, publish articles on an expert portal daily, we have a printed magazine, a data API and we are hold courses about writing and visualization for communicating economics. This talk will walk you through the lessons we have learnt over the past 3 years. We find that a blend of text and data works best.

• Nikola Ilic

Fold on tight - Understanding Power BI Query folding in 30 minutes!

"Will that break a query folding?"..."Does your query fold?"...Maybe someone asked you those questions, but you were like: "Query...Whaaaat?!"

Or, maybe you've heard about query folding, but didn't know how to take advantage of it in real-life scenarios.

If you recognized yourself in (at least) one of the two situations specified above, then this session has your name written all over it! You will learn what is query folding, in which scenarios Power BI will apply it, and how you, as a Power BI developer, can benefit from understanding this concept.

• Georgios Karamanis

From idea to code to image: creative data visualizations in R

In this talk, we will walk through the process of converting an idea into a functional and creative visualization in R, covering all steps from finding inspiration to writing the code. We’ll also look at handy tips to make the creative and coding process smoother, helping you reach those creative solutions a bit more easily.

• Valerio Maggio

The new Python in Excel integration, powered by Anaconda

Python in Excel is the new integration created by Microsoft that brings Python programming directly into Excel workbooks for advanced data analytics.
With Python in Excel, you can now embed your Python code directly into a cell, with no setup required. The Python code runs in the Microsoft Cloud, and leverages on the Python Anaconda Distribution to get immediate access to a vast selection of packages for data science, data visualization, and machine learning. The output of the execution is automatically integrated into the workbooks, making it possible to generate data reports with customers and other users.
The new feature is currently available in Public preview to all users running the MS Excel Beta Channel on Windows.

In this talk, we will provide an introduction to this new MS Excel feature, discussing its potentials and current available features. A few demos will be showcased at the end of the talk, along with references to instructions to try it out, and useful resources from the Anaconda Learning team to become a certified Python in Excel analyst.

• Greg Strzyminski

Level up UX by leveraging advanced DAX

You've faced this - you gathered precise business requirements, designed efficient data ingestion into a carefully crafted star-schema, authored state of art DAX and beautiful visuals - all to receive a 'meeeh' from the client because they can't properly see the data label on the highest column in the column chart. Or because they picked a product from the product slicer only to face a completely blank report page and find out that this product isn't actually sold in the currently selected country.

I've been there too. And while putting a background in the data label solved the first problem mentioned at first (at least partly), I realized that this is not the ultimate solution we want to aim for. Neither was enabling a bi-directional relationship to fix the second problem.

Throughout my Power BI journey I've faced a number of these issues, all of them having two traits in common: they heavily hindered User Experience and could be solved by a bit of smart DAX. During the session I'll share these challenges and solutions to help you tie up the last loose ends in your report. And impress your client - be the client external or your boss.

After the session you will be able to:
• Improve the scaling of charts
• Create visuals with custom labels using different approaches
• Limit the number of options in slicers to only those available in current context without resorting to bi-directional relationships

Before you join this session it would be great if you have a good understanding of DAX concepts and dimensional modelling in Power BI.

• Jayesh Kothari

Data Storytelling using Python

In this captivating session participants will embark on an exciting journey to explore the art of data storytelling with the power of Python Libraries. Led by Jayesh Kothari, a Python enthusiast and data Visualization expert, this session promises to be both informative and engaging.

• George Stagg

Data Visualisation in the Browser with WebAssembly and webR

Earlier this year webR was released, a version of the statistical language R compiled for WebAssembly (wasm). Wasm is a technology that enables software that’s normally compiled for a specific computer system to instead run anywhere, including inside web browsers. With webR, data science and visualisation code written in R can be run and displayed directly in the browser, without the need for a supporting computational R server.

Users have already begun building new data visualisation experiences with webR on the web. The latest release includes improvements to graphics, accessibility and internationalisation, expanded support for Wasm R packages, and includes the ability to run fully client-side R Shiny apps.

In this talk, I’ll introduce webR and discuss some details of how the system works. I'll show some examples of running interactive R code in the browser, and discuss the potential for how this can change the way data science is taught and delivered. I'll discuss how webR enables integration of the R data science stack with native JavaScript visualisation libraries. Finally, I'll show you how you can get started with the newly released version of Shinylive so that you can create your own pure client-side interactive data visualisation applications using the Shiny R package.

• Ben Ferry

Getting creative with Deneb

Once you understand the basics of Deneb, you are ready to get building some visuals. But what can you built, and how do you build visualisations that aren't just slightly more interesting bar charts?

This session will teach you how to take your Deneb skills to the next level.

Using vega-lite expressions and a bit of creativity, we will walk through the steps of how to take your ideas and develop them into creative Power BI visualisations.

• Chanin Nantasenamat

Crafting a Dashboard App in Python using Streamlit

In this presentation, we'll embark on a journey to create a dashboard app in Python. Briefly, this constitutes the seamless integration of Pandas for data wrangling, NumPy for numerical processing, the array of Matplotlib/Seaborn/Plotly/Altair/ipyvizzu for data visualization and Streamlit as the web framework for weaving together everything into a shareable data app. By the end of the talk, you’ll see how easy it is to incrementally build, customize and craft a dashboard app. In the name of reproducibility, we're providing the underlying data and codes mentioned in the talk for everyone to dive into and play around with!

• Marjolein Opsteegh

What did I learn from 26 dashboard challenges?

After participating in 26 dashboard competitions, it is now my mission to convince as many people as possible of the power of dashboard competitions.

Far too often I encounter people who have started a competition dashboard but have not submitted it. They are too insecure, their dashboards are not nice enough, not good enough, or they are simply not ready for it yet.

While most people will probably never be ready for it in their own eyes.

During the session, I will discuss the what, how, and why to participate in these competitions. I'll show you why participating makes you stronger and what you should pay attention to if you actually do participate.

To make the session more interactive, I will show polls in between and a demo of an effective challenge portfolio.

This session is intended for beginning Power BI developers but is also very suitable for more experienced developers who don't like to show their work to others either.

• Tom Martens

I can, I want, I must not - an overview of the current state of Access Management in Fabric

This session provides an overview of the current state of access management in a Microsoft Fabric-enabled environment. Without any question, Microsoft Fabric will change the analytical landscape of analytical platforms. The possibilities of Microsoft Fabric seem limitless. I assume that fabric will become for analytical platforms what Power BI has become self-service Business Intelligence solutions (to be honest - Power BI is so much more already than a data visualization tool).

Nevertheless, a Fabric workspace is more complex than a Power BI workspace. Of course, it’s still a container able to store artifacts, adding compute capabilities to them. But now we must know that many more personas contribute to the workspace content. More personas are involved in creating a “Fabric Solution” than in the good old Power BI days. This session is not only about safekeeping the artifacts from accidental harm in a workspace container but also about granting access or denying access to the data.

In this session, I will showcase some use cases, and life demos of how access can be granted, or not to forget denied.

• Gordon Shotwell

Performant dashboards with Shiny for Python

BI applications often start simple, but grow in complexity as usage grows. Many frameworks can't handle this type of complexity which means that you may need to redevelop your application in another framework as demands for your application grows. Shiny for Python is built around a fast, elegant execution engine which means that your app can grow from a simple product that you can develop in an afternoon, to a complex mission-critical web application. This talk will go through what Shiny for Python is, how it works, and why its worth exploring.

• Jean-Luc Stevens

The needle and the haystack: visualizing single datapoints out of billions

Python tools like Bokeh and Dash let you build custom Web-based interactive visualization apps and dashboards for your business. While these solutions work well to visualize megabyte-sized datasets, web technologies struggle to render gigabyte or larger datasets efficiently, because they transfer all the data into the client browser. Pre-rendering the data on the server using a tool like Datashader can visualize such large datasets efficiently, but the resulting static renderings make exploring individual datapoints difficult.

This talk demonstrates how the HoloViz ecosystem of tools (holoviz.org) allows you to run exploratory notebooks and build dashboards that do server-side rendering of billions of data points without losing the ability to interactively inspect and annotate individual samples in the browser.

• Tamas Polner

The world's first Fabric implementation

Microsoft's Azure Data Engineering has introduced Microsoft Fabric in May 2023. During the development of Fabric, the data engineering team responsible for the internal reporting and analytics capabilities of the organization has gone on a journey on rearchitecting their infrastructure based on Fabric in parallel with the product's development. During this "dogfooding" process the analytics team has continuously provided feedback to the engineering leaders, working on identifying and prioritizing key capabilities for customer adoption and also working on measuring performance of the newly developed services in real life implementations. As customer 0, the organization migrated its internal analytics infrastructure to Fabric, and during the session the learnings and the process of migration will be shared with a wider audience for the first time. The session will introduce the infrastructure built on a lakehouse architecture as well as the migration steps from the previous Synapse based implementation.

• Paddy Mullen

Exploratory data analysis in Python with Buckaroo

The open source Buckaroo Data table is designed to expedite the most data analysis tasks in Jupyter and pandas.

Buckaroo makes it intuitive to perform the most first task in data analysis - looking at the actual data with a modern performant table that scrolls and allows sorting. It adds summary stats, histograms, auto cleaning, and a low code UI. The presentation will demonstrate this and walk attendees through customizing Buckaroo to their own analysis workflow.

• Nick Desbarats

How to become a true data visualization pro

In this eye-opening talk, globally recognized data visualization educator and author Nick Desbarats will reveal the surprisingly wide array of skills that are required in order to create effective charts—even simple, “everyday” charts for reports and presentations—and provide tips and resources for developing those skills.

• Alberto Cairo

Data Visualization: The Art of Insight

Data visualization is a language that consists of mapping data onto symbols guided by a visual grammar. Like any other language, visualization can be used in various ways (prosaic, essayistic, poetic, and so on) and has several “dialects”. This talk will describe some of them.

• Bence Arato

Closing Notes

A few final words from the conference chairman and the OC