Join us for DATA BASH '25 – a global online conference dedicated to all things data within the Microsoft ecosystem!
Hosted by passionate community members, this live event will be streamed on YouTube, bringing together data professionals and enthusiasts from around the world.

Topics Covered
DATA BASH '25 hosts sessions on all aspects of Microsoft’s data stack, including but not limited to:
<ul><li>Microsoft Azure Platform</li><li>Excel</li><li>SQL-Server</li><li>Power Platform</li><li>MS Fabric</li><li>Big Data &amp; Analytics</li><li>Artificial Intelligence</li></ul>
We also encourage discussions on essential topics such as:
<ul><li>Diversity, Equity, and Inclusion</li><li>Data Governance</li><li>Data literacy</li><li>Data career</li><li>Project management (data related)</li><li>Succeeding certification exams</li><li>and other similar data related topics</li></ul>
All session levels are accepted (from Beginner to Expert). If your session dives into data and aligns with Microsoft technologies, we want to hear from you!&nbsp;

New to speaking on bigger events (User groups do not count)? No problem! We will assign a Mentor to you for support upon request.&nbsp;Submit your proposal and be part of a knowledge-sharing experience that connects data experts across the globe.

This conference is for sharing knowledge and therefore refrain from sales-oriented sessions.

DATA BASH 2025

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The goal of this session is to equip attendees with a practical understanding of data governance best practices within Microsoft Fabric, enabling them to build a secure, compliant, and trustworthy data platform.

Protecting Your Assets: Data Governance Best Practices in Microsoft Fabric

Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they’re also surrounded by a lot of hyperbole and confusion. In this presentation, I will give you a guided tour of each architecture to help you understand its pros and cons. I will also examine common data architecture concepts, including data warehouses and data lakes. You’ll learn what data lakehouses can help you achieve, and how to distinguish data mesh hype from reality. Best of all, you’ll be able to determine the most appropriate data architecture for your needs.

In addition, I will delve into how Microsoft Fabric can be leveraged within each of these architectures. From integrating data fabrics for enhanced data management and governance, to implementing data lakehouses for streamlined analytics, and establishing data meshes for decentralized data ownership, Microsoft Fabric offers robust solutions and tools. By the end of this presentation, you’ll have a clear understanding of how to use Microsoft Fabric to build and optimize these diverse data architectures, tailored to meet your specific requirements.

Data Architectures and Microsoft Fabric

This session will explain underlying storage of OneLake, Delta (and Parquet). Explaining what column store and Parquet is, and how Delta adds some amazing features on top of this.


This session requires no prior coding knowledge or tech-savvy background. It will use simple language, relatable examples, and visual aids to explain the core concepts.  All covering terminology at an introductory level so you won’t get left behind.


Key Takeaways:


- A clear understanding of Delta tables and its role in software development and cloud infrastructure.
- No-code, no-jargon explanations that make complex concepts accessible to everyone.
- Increased confidence in discussing and exploring Microsoft Fabric in various contexts

Demystifying Delta (Parquet): A No-code, No-jargon Introduction

Do you want to enhance the performance of your dashboard? Experience shows that most performance issues in Power BI can be addressed with a few simple adjustments to the data model.

Therefore, this session will address the following questions:
- What constitutes a strong foundation for a data model?
- What are the advantages and disadvantages of different data models?
- How can you manipulate data to generate the right insights?

A robust data model can resolve many issues effortlessly, including:
- Even with limited expertise, you can boost performance with a few tips, resulting in faster loading times for your reports.
- Utilizing the appropriate data model makes it easier to craft DAX formulas, reducing complexity in the process.

By the end of this session, you'll have a clear understanding of what factors to consider. You can then apply this knowledge directly to your daily tasks.

Optimizing Power BI: Enhancing Performance Through Data Modeling

Microsoft Fabric is a new service that was announced during Microsoft Build 2023. Which has caused a lot of excitement in the Microsoft Data Platform community.

In this session I give a brief overview of Microsoft Fabric is before going into details about how you can use Azure DevOps with it at this moment in time.

Including Git integration and other ways that you can perform CI/CD for Data Warehouses and SQL databases in Fabric.

During the session I will also introduce some Azure DevOps best practices.

Microsoft Fabric and Azure DevOps - The story so far for 2025

What if improving your relationships with internal stakeholders could not only make your job easier but also multiply your team's impact?

Today we will see a few examples of how you can do that. I wrote this article from the point of view of an IT team manager… but you can apply most of the practices in any role you have.

The presentation is based on these articles:
- https://betteratdata.substack.com/p/7-how-to-improve-the-relationship-with-internal-customers
- https://betteratdata.substack.com/p/8-3-ways-to-improve-the-relationship-with-internal-customers-2


3 ways to improve the relationship with your internal customers/stakeholders

Fabric is awesome—but what would Fabric be without version control? When you’re building data products, notebooks, reports, or pipelines, Git is essential to bring structure, traceability, and collaboration into your development process.

When we introduced Git to different teams, we thought it would be easy—after all, it's just a version control system, right? What we didn't anticipate was the resistance, the misunderstandings, and the unexpected side effects of having no structured development process.

In this session, we’ll share our real-world experience of introducing Git to a larger team, the pushback against abandoning direct development on the main branch, and the challenges that came with long-living pull requests blocking progress.

You’ll learn:

Why technical tools alone aren’t enough without process and mindset change

How to advocate for branching strategies and code reviews in a constructive way

What patterns emerged when Git was used without project management

Practical tips for balancing structure and flexibility in team workflows

How to reduce bottlenecks and improve collaboration with lightweight processes

Whether you're a developer, team lead, or architect, this session will give you practical insights into rolling out Git successfully—and sustainably—in teams of any size.

From Chaos to Collaboration: Introducing Git in Fabric Projects

Do your visuals take forever to respond to filters?
Is DAX starting to feel more like a puzzle than a language?
Does your model view look like a tangled web of chaos?

Chances are, your data model is missing one crucial ingredient: a star schema.

In Power BI, a well-designed star schema isn’t just a best practice - it’s the key to performance, simplicity, and scalable DAX. The good news? Transforming a messy model into a clean star schema is easier than you think.

In this practical session, Markus Ehrenmueller-Jensen will walk you through common modeling pitfalls and show step-by-step how to reshape your model into a star schema using Power Query and DAX. You’ll learn how to:

* Assign attributes to fact and dimension tables
* Normalize your fact table and denormalize dimensions
* Add and configure a proper date table
* Replace blanks and cryptic flags with meaningful values

By the end, you’ll not only understand why star schemas matter—you’ll be well on your way to becoming a Guardian of the Star Schema.

Who Should Attend:
Anyone working with Power BI who wants faster reports, simpler DAX, and cleaner data models. Ideal for beginners and intermediate users ready to level up their modeling game.

Become a Guardian of the Star Schema with Microsoft Fabric

Data volumes are skyrocketing, and with every new project, the pressure is on for data engineers to deliver snappy queries over ever-growing datasets. In this session, we will deep dive into how Delta Lake’s partitioning and Liquid Clustering capabilities can transform query performance in Microsoft Fabric. We’ll be putting these optimizations to the test against a massive dataset—millions (or even billions!) of rows—to demonstrate real-world impacts on speed and efficiency.

We’ll explore the nuts and bolts of Delta partitioning to ensure your data is stored in the most optimal way, reducing query overhead and slashing runtimes. Then we’ll crank it up a notch with Liquid Clustering, an advanced feature that automatically reorganizes your data for blazing-fast analytics. Finally, we’ll show you how to integrate these Delta optimizations into your Microsoft Fabric Lakehouse, so you can power your dashboards, reports, or machine learning pipelines with near real-time insights—without the dreaded performance bottlenecks.

By the end of this session, you will:
	1.	Understand how and why Delta partitioning supercharges query performance.
	2.	Harness Liquid Clustering in Delta Lake to keep your data lean, mean, and query-ready.
	3.	Integrate partitioned and clustered Delta tables seamlessly with Microsoft Fabric for next-level analytics.

Brace yourself: This session may contain dangerously optimized partition strategies and an overdose of high-speed query demos! If you’re a data engineer looking for hands-on techniques to crush query latencies and boost productivity in Microsoft Fabric, then this is your must-attend deep dive. Get ready to leave your old, slow queries in the dust.

Delta Table Optimisation - Improving Queries using Delta Partitioning and Liquid Clustering

Have you ever built a dashboard and instantly realized something was wrong with the data? That moment of doubt is powerful because visibility is the first step toward Data Health.

This session explores how Power BI dashboards act as mirrors, revealing data quality issues that were always there but never seen. More importantly, it makes the case that Data Health is people’s business and not just a technical challenge. We'll look at the key role humans play in creating, maintaining, and fixing data. After all, if people are the source of the data, they must be part of the solution.

You’ll see real-world examples, practical techniques, and ethical considerations all rooting back to one key idea: communication and collaboration fix more data issues than tools alone ever could. We’ll also take it a step further by demonstrating the clear business value of Data Health Dashboards: how they help reduce costs, avoid lost revenue, and improve decision-making by building trust in the numbers.

You'll leave with simple Power BI hacks to build your own “Data Health Dashboard” and a new perspective: every dashboard you publish is not just a report. It’s a business-critical opportunity to improve your data, your processes, and the way people work with both.

From Invisible to Actionable: Why Data Health Starts with People and Dashboards

The newest release of SQL Server provides a wide variety of new functions and options that can improve performance, simplify code, and make our lives easier.

This session is a dive into everything new that appears in SQL Server 2025. Some of the new features were already released in Azure SQL Database, whereas others are surprises that are just waiting for us to unbox and enjoy!

Looking to make good use of the new Regex functions? There is a surprising upgrade snuck in there for STRING_SPLIT().

Is PRODUCT() really that useful? Yes. Yes it is!

What is fuzzy string matching all about?

JSON support is finally here!

There's more to be had, waiting for you right here!

My Favorite New T-SQL in SQL Server 2025

Berry Wand has a new job. As the Chief Data Officer for a leading police force, she is in charge of creating a data-driven corporate culture and has all the tools she needs to make it happen. But she needed to figure out where to start; she had a vision, but it was the implementation and delivery that she needed help with.

That was until she heard about a splendid conference talk focused on building a data culture and how Power BI could support that process. 

Now, she had the chance to dig into the topic and learn how to make the most out of her data. She was excited to start, so she arrived at the talk with a sense of anticipation.

During the session, Berry was immersed in a world full of potential. She picked up techniques and strategies she could apply to her job and tips and tricks she could teach her team.

She learned about

> Establish leadership support
> Strategies for Overcoming resistance to change
> Identify key data stakeholders
> Build a data-driven mindset
> Implement data governance
> Invest in data infrastructure
> Provide training
> Encourage experimentation
> How Power BI can help build that data culture

The whole experience had been a revelation for her, leaving her feeling as if she had finally cracked the code of creating a data-driven culture in her organisation.

As she left the conference venue, Berry felt energised and inspired. She had the blueprint and strategy for taking her data to the next level; all she had to do was put her newfound knowledge into action. It would not be easy, but it would be worth it.

A Step-by-Step Guide to Building a Data-Driven Culture

Developing in Fabric notebooks, whether Spark or Python, often means relying on reusable code: classes, functions, and utilities that ideally live outside the notebook itself. But integrating external code in a clean, reproducible way isn’t always straightforward.

In this session we'll explore a multitude of options for modularizing custom code, from magic commands and environment-based imports to storing code artifacts in file sections or built-in resources. Each method comes with trade-offs in terms of maintainability, deployment readiness and how well they fit in Git-based deployment workflows.

Through practical demos, we’ll compare these strategies, highlight their strengths and limitations, and offer clear recommendations for building robust, scalable pro-code solutions in Fabric. 

When Built-In Doesn't Cut It: Reproducible Code Strategies in Microsoft Fabric

The discussions about adopting Fabric lag, until you bring OneLake shortcuts to the table. Even if we do not adopt Fabric as a whole the shortcuts will sneak it. So, what are these OneLake shortcuts and wat maks them so irresistible to the stake holders. Demo and kinder chocolate driven session about the use cases, the features, the strong points and the shortcomings of the shortcuts.
So let’s get up to speed to that part of Fabric that solve a lot of complicated issues and everybody loves it.


Let’s take a shortcut

Have you ever thought about what game you are in when doing business? 

The business you are doing every single day - data, integration, performance or what ever your field of expertise and interest is.

In this session I’ll tell you a story of two different games and two different outcomes - games we all play every single day. And with the right mindset and approach to those games, you’ll learn that you don’t have to win. Either in your business, personally or any other way. 

Wether you are a consultant, employed internally or the manager of a team - with the approach to your every day work, you’ll learn to tackle the different, and perhaps sometimes stressful, situations.

From this session you’ll:
- learn to spot the current game you are in
- get tools to play the game right
- return home with a new approach to your everyday life in data

Know the game you are in - and you will not win

Short overview with some examples how we can use neuroscience knowledge about how our brain and nervous system works and apply that to improve  and unlock visualization and data storytelling potential.



Using neuroscience knowledge to unlock visualization and data storytelling potential

We'll cover best practices when developing solutions using Microsoft Dataverse. We'll cover guidance for API usage, form design, app performance, security, maintenance and more!

Best practices and Guidance when using Microsoft Dataverse

In today’s data-driven world, storytelling with Business Intelligence (BI) is the key to turning complex data into impactful narratives. This session explores how to craft compelling stories using data visualizations that drive understanding and action. Learn how to structure insights for clarity, use design principles for better engagement, and tailor your story to your audience.

Key Takeaways:

1. Transform raw data into meaningful narratives
2. Apply visual best practices to enhance clarity
3. Align BI stories with business goals and audience needs
4. Inspire decision-making through clear, compelling storytelling

Mastering Storytelling with BI

Want to understand Microsoft’s AI ecosystem and how all the pieces fit together? This session gives you a clear mental map of Azure’s AI offerings—perfect for technical managers, data scientists, developers, and architects building real-world solutions.
Get a rapid, structured tour of Azure AI — organized by key capabilities:
1. Generative AI & LLM Orchestration with Azure OpenAI & Semantic Kernel
2. Retrieval & Augmented Intelligence with RAG using Azure AI Search
3. Machine Learning with Azure ML, AutoML & Databricks
4. Multimodal AI via Document Intelligence, Vision & Speech
5. Responsible AI with Content Safety & Purview
6. Data & Integration through Microsoft Fabric & Power Platform

Unpacking Azure AI: A Rapid Tour through Microsoft’s AI Ecosystem

Azure Arc enables hybrid and multi-cloud management for SQL Server, bringing Azure’s security, automation, and governance capabilities to on-premises and cloud-hosted SQL Server instances. This session explores the implementation of Azure Arc for SQL Server, covering deployment, configuration, and key benefits such as centralized management, advanced security, and automated updates. Attendees will gain insights into best practices for monitoring, policy enforcement, and leveraging Azure services for enhanced performance and compliance.

Implementing Azure Arc for SQL Server

The tech industry is driven by data—but behind the dashboards and algorithms are people who often don’t feel seen, especially women and minorities. In this talk, Sheena Yap Chan shares how confidence and representation play a crucial role in creating ethical, inclusive, and human-centered data solutions. Drawing from her own journey as an Asian woman in tech and her work empowering others through visibility and leadership, Sheena reveals how diversity in data teams leads to better insights and smarter decisions. This session is a call to action: to not only collect data, but to challenge bias, elevate unheard voices, and build tech that reflects all of us.

Key Takeaways:
	•	Understand how cultural bias can affect data collection, interpretation, and outcomes.
	•	Learn how confidence impacts representation in tech roles and decision-making.
	•	Discover practical ways to foster inclusion within data science and analytics teams.
	•	Be inspired to use your voice to influence ethical and impactful data practices.


Confidence in the Age of Data: Empowering Diverse Voices in Tech Analytics

Have you ever wanted to add data entry and write-back functionality to your Power BI Reports?

Perhaps you've wanted to add comments to data points, allow users to input new data entries, or perform master data management tasks?

Translytical Task Flows in Fabric & Power BI allows you to do all of the above and much more, natively within the platform, without needing licenses for external solutions.

In this session we will cover the following essential building blocks for Translytical Task Flows:
- How to create User Data Functions in Fabric for interacting with your backend.
- How to trigger your Functions from Power BI
- How to provide the best possible User Experience in Power BI, by using slicers and inputs to parameterize your write-back actions.
- Pros, Cons and Limitations, also in comparison with other write-back solutions (Power Apps, 3rd party solutions).

The session will teach you all of the above through the case of a Comment/Annotation write-back solution, which you after this session will easily be able to build for your own Power BI reports.

Native Write-Back in Fabric: How to build Translytical Task Flows for Power BI

Recently my client asked me to design a Power BI Corporate Theme. 

Something that initially looked as a task for a couple of unhurried weeks tuned into 2 month quest full of exploration of Power BI JSON format peculiarities and limitations, and ended up with delivery of comprehensive design system with templates, samples and tutorial for end-uses. 

We discuss tools and approaches that help designers, naturally used to MacOS and Figma, to succeed with this type of assignments, and share learnings that, hopefully, will make road less bumpy for those of you who have it ahead. 

Audience: BI Analysts, UI/UX Designers.
Product: MS Power BI

Beyond the Default: Designing Corporate Power BI Theme

In today's fast-paced world, businesses need real-time insights and intelligent automation to be ahead of competition. This session explores the synergy between AI Agents and Microsoft Real-Time Intelligence. We will demonstrate how businesses can benefit from the power of real-time data processing, predictive analytics, and autonomous decisions. You will examine Azure Event Hubs, Stream Analytics, Fabric Real-Time Intelligence, and real-time-acting AI-driven agents that learn, adapt, and act in real time. You will be shown how to develop intelligent pipelines that detect anomalies, automate reactions, and enhance operations—all real-time. Join us for hands-on demos and realistic examples in order to explore how AI agents will revolutionize industries by providing predictive maintenance, real-time adaptive customer engagement, and autonomous business processes. Regardless of your position—data engineer, AI developer, business leader—this session will set you up to bridge from real-time data to AI-driven automation—turn insights into action in ways previously impossible. Are you ready to unleash the potential of smart automation?

Releasing the Potential of Microsoft Real-Time Intelligence through AI Agents

During this session, we’ll dive into a range of helpful tips and tricks that I wish I had known when starting out with Microsoft Fabric data warehouses. These insights are designed to save you time, optimize performance, and make managing your data warehouse more efficient.

We’ll start by exploring a clever trick to create a case-insensitive warehouse using a simple API call, a small adjustment that can have a significant impact on query consistency and usability. From there, we’ll tackle performance monitoring, focusing on identifying and addressing slow queries. You’ll learn how to leverage built-in tools and techniques to pinpoint bottlenecks and take corrective action.

But what happens when a rogue query threatens to cripple your capacity? Don’t worry, we’ll cover how to detect and kill capacity-destroying queries before they disrupt operations. This critical skill will ensure your data warehouse remains stable and responsive, even under heavy workloads.

Throughout the session, I’ll share practical, real-world examples and actionable strategies to help you get the most out of Microsoft Fabric. Whether you’re new to data warehousing or looking to sharpen your skills, this session is packed with valuable insights you can start using immediately.


Mastering Microsoft Fabric Data Warehousing: Tips & Tricks You Need to Know

A lot happenned in Fabric Monitoring in the last months:

- FUAM was released as unifed solution for many monitoring challenges
- Real-Time-Capabilities of Fabric can be used for Workspace Monitoring (replacing Azure Log Analytics) and Streaming from Fabric Workspaces

This session will give an overview of the existing solutions and
and discuss the existing possibilities. I will show the output of these solutions and show some good practises and how I used them in real projects.

The use-cases are still:
- performance tracking
- capacity monitoring
- administration and lineage of artifacts
- user administration
- identification of problems

I will use my own solution in Fabric and Power BI built on top of FUAM and other sources and brings the different perspectives of monitoring together.

The State of Fabric Monitoring

Ever wanted to peek behind the curtain of Microsoft Copilot? It might have been a single LLM answering your prompts in its inception, but today it is a rather complex system using state-of-the art GenAI technologies.

In this session, we'll take you on a journey through the overall architecture of agentic systems and how they power applications like Microsoft Copilot. We'll uncover the key components and design principles that make these systems tick. From orchestrating natural language processing capabilities to integrating various subsystems, this talk will provide a comprehensive overview of the techniques and best practices for building advanced conversational agents.

This talk is rated at level 300. It is perfect for AI practitioners and developers with a solid grasp of software architecture concepts and LLMs, who are eager to deepen their understanding of agents and agentic systems. The concepts presented are abstract and not dependent on any specific technology, making this presentation interesting for non-technical professionals as well.

Microsoft Copilot under the hood

Microsoft Fabric has OneLake Storage at the center of all services. Storage is based upon existing Azure Data Lake Storage and can be accessed with tools that you are familiar with. Many different file formats have been used over time. Understanding the pros and cons of each file type is important.

I will be exploring several different datasets during the talk: zip files, stock data, earthquake data, NASA website data, and Fisher Iris dataset.

Our exploration will start with the CSV format which is widely used. However, there are many other formats that you might encounter. Web services typically use a JSON document as the input and/or output to REST API calls. The Apache foundation projects came up with three different file formats: AVRO shines at data deserialization for RPC calls, ORC is suited for Hadoop processing, and PARQUET is optimized for Spark processing. 

There are edge cases in which a file is in a special format. One can always use the TEXT format to parse out the data row by row. All of the above formats do not support the ACID properties of a database. 

That is why Databricks developed the DELTA file format which was opened source in 2019. This format is the foundation of most files in OneLake. 

The Fabric Lakehouse is an implementation of Apache Spark which can have both managed and unmanaged Tables.  I suggest using managed tables since they are support by both the SQL Analytics endpoint and the semantic model.

At the end of this talk, the developer will have a full understanding of all the file formats than can be managed by Fabric.

Understanding file formats within the Fabric Lakehouse

Creating reports with Power BI may seem easy at first. However, many people eventually discover that their reports are not being viewed, end-users are confused about navigation, and the whole development process is more complicated than anticipated. This session will address these challenges and provide you with the skills to create visually appealing and actionable data visualizations that serve a clear purpose and effectively guide end-users to take action.

In this session, I will show how to create data visualizations that are visually appealing, intuitive, and actionable, only using Power BI core visuals. Since many of us are creating reports for others who eventually need to maintain them themselves, I think it is important not to involve too many external tools and additional code and instead focussing on keeping it simple and insightful. 

The techniques you will learn are practical and can be immediately applied to your work. You will learn how to:

- Ask the right questions to get to know your audience.
- Use DAX to Enhance Visuals: Learn how to modify your visuals using DAX, such as changing colors and highlighting important information, to make critical insights stand out.
- Focus on Key Information: Learn techniques to refine your visuals so they display the most critical data, making sure users can quickly see what matters most.

Join me as we explore how to create insightful, user-friendly visualizations using only Power BI's core visuals, no SVGs or external tools required. 

Get Creative with Power BI: Make these core visuals shine!

As organisations rely on Microsoft Fabric to unify their data, analytics, and business intelligence workflows; managing access effectively becomes more critical than ever. 
This session explores the ins and outs of permissions in Microsoft Fabric, helping you understand how to protect sensitive information while enabling collaboration and productivity.
This session will break down the core concepts of Fabric’s permission model, including workspace roles, item-level security and data access governance. 
Learn how to implement best practices for assigning roles, managing external access, and auditing user permissions across your Microsoft Fabric environment.

Whether you’re an administrator, data engineer, or business leader, you’ll walk away with practical knowledge to confidently answer: Who has access to what, and why? 
Packed with live demos, this session will equip you to build a secure, scalable, and well-governed Microsoft Fabric environment from the ground up.

Who’s In, Who’s Out? Controlling Access in Microsoft Fabric

Have you ever wondered how you might leverage the benefits of AI in data visualization?

Even if you haven’t, come learn how you can take your reporting in Power BI to the next level by discovering how you can implement AI solutions to deliver key insights to your audience and stakeholders. 

During this session, we’ll be exploring how you can leverage automation, via Power Automate, and Artificial Intelligence to deliver reports and key insights.

Leveraging AI in Power BI Dashboards

SQL (the language) is not a third generation language, where the developer tells the computer every step it needs to take. It is a declarative language that specifies the required results. SQL Server itself will figure out what steps it takes to get to those results. Most of the time, that works very well.

But sometimes it doesn't. Sometimes a query takes too much time. You need to find out why, so you can fix it. That's where the execution plan comes in. In the execution plan, SQL Server exposes exactly which steps it took for your query, so you can see why it's slow.

However, execution plans can be daunting to the uninitiated. Especially for complex queries. Where do you even start?

In this session you will learn how to obtain execution plans. and how to start reading and understanding them.

Execution plans ... where do I start?

Working in tech means collaborating with all kinds of people- developers, designers, analysts, testers, PMs. And let’s be honest: not everyone thinks, communicates, or works like you do. That’s both the challenge and the magic. In this session, we’ll talk about what happens when different minds meet on a project- how it can lead to confusion, conflict… or incredible results. We'll explore why embracing different thinking styles makes teams stronger and how to actually make it work in real life.

Who is it for?
1. Tech professionals working in cross-functional or remote teams
2. Team leads or aspiring leaders who want to improve collaboration
3. Anyone who's ever felt misunderstood, left out, or frustrated at work

Key Takeaways:
1. Understand common differences in how people think, work, and communicate
2. Learn how to reduce friction and turn conflict into collaboration
3. Discover practical tools to build stronger, more inclusive team dynamics
4. Walk away with strategies you can use right away-no personality tests needed!

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Community Days | DATA BASH 2025