Why you should care about Data Community and how the community cares about you en

Fast backward 10 years, I was a database developer who was allowed to travel to this huge SQL conference in Seattle. Knowing nobody upfront, it was overwhelming how open the data community was to a newbie like me.
Fast forward 10 years, I am data consultant, Microsoft Data Platform MVP, international speaker, member of the Azure Data Community Advisory board and organizer of several data platform events.
In between, was a highly recommended relationship between the data community around the world and myself. I learned a lot from community members, and now I am more than willing to give back to the community.
Join me in this session to talk about WHY you should care about the Data Community and HOW every side of the relationship (the community and you) gets the best out of it.

feedback link https://sqlb.it/?7225

The well-known Dancer on the Floor: Paginated Reports are Back - And How they Are! en

There is a well-known member in the Microsoft reporting universe - Paginated reports are available for a long time and they are needed since the first day. SQL Server Reporting Services (SSRS) were introduced as an add-to for SQL Server 2000. Since then, (almost) every version added more functionality into the game.
The SSRS portal got the on-stop shop for on-premises Microsoft reporting and Power BI Report Server (as a functional add-on to SSRS) was added in 2017. Power BI Premium added paginated reporting functionality in the cloud.
Join me in this session to get an overview about the current reporting landscape and how you can incorporate paginated reports into your day-to-day reporting!

The Top 5 Must-Cares for On-Boarding New Team Members en

Technical on-boarding of new team members is one thing, integrating the person and its personality in the team is much more important!
Whenever it comes to the day a new team member is ready to join our team, we've already gone through a list of preparatory actions to make these first days good days for every side of the story.
Our team on-boarding process has gone through many iterations in the past years and especially the pandemic led to (massive) changes. In this session, Michaela and Wolfgang will talk about their top 5 (or more) actions for a successful colleague on-boarding. Some examples to mention include our tradition of a welcome cake and an assigned mentor for every new team member.

Reicht auch Power BI only für mein Projekt? en

Fragt sich so mancher Entwickler angesichts immer mehr Funktionsumfang und Enterprise Readyness auf Seiten Microsoft Power BI.
Normalerweise beinhalten BI Projekte spezialisierten Komponenten wie zur Persistenz (Datenbanken, Data Lake & co.) oder für ETL. Power BI deckt den kompletten Bereich einer BI Lösung ab. Aber gibt es Dinge die gar nicht gehen in Power BI, wo sind Schwächen und gibt es das typische Power BI Projekt?
Dieses spannende Thema wird in der Session diskutiert!

Power to the Query! en

You have not heard about Power Query? You are not sure how this YADI-tool (yet-another-data-integration-tool) can help you?
Let's see where Power Query already has its place in todays tool landscape and how you can easily start using it.

Power Hour en

Power BI und Azure Purview - Wie und was können die beiden miteinander? en

Ab und zu denkt man sich, dass doch die Liste der Power BI Workspace als Grundlage für Data Goverance reichen sollte... Ist die Lineage Ansicht in Power BI wirklich ausreichend um die Datenherkunft bis zur Quelle (und vielleicht darüber hinaus) analysieren zu können?

In dieser Session verrät dir Wolfgang mehr über das Thema Data Governance:
* Was ist das eigentlich?
* Wie und wo starte ich damit?
* Was kann Azure Purview?
* Was ist eigentlich mit Power BI und Data Goverance?
* Und warum gibt es da noch mehr als die Lineage View im Power BI Service?

Part II Governing Your Microsoft Fabric Estate – Strategy, Practice, and Vision en

In today’s ever-growing data landscape, effective governance is no longer optional—it’s a strategic imperative. Organizations face pressure to be agile, transparent, and compliant while managing increasing volumes of data across complex environments.
Designed for data leaders, governance professionals, and architects, this session is structured to guide participants through the essential principles, tools, and practices needed to establish a strong governance foundation within the Microsoft Fabric ecosystem.

Participants will:
• Understand the core governance capabilities of Microsoft Fabric and Microsoft Purview.
• Learn how to design and implement governance strategies tailored to organizational needs.
• Learn how to secure your data estate in Microsoft Fabric
• Explore real-world use cases and learn from project experiences.

1. Foundations of Data Governance (in Microsoft Fabric)
Kick off the session with an introduction to data governance, the roles involved and how to start your data governance initiative. Learn how to map roles to Microsoft Fabric and Microsoft Purview personas.
2. Mange and Secure your Fabric data estate
Dive into the governance concepts in Microsoft Fabric. Understand key concepts such as data domains, workspaces within the Fabric framework. Hear about the different options how to secure your data in Microsoft Fabric. Extend the knowledge with the options of Microsoft Purview (Information Protection, Sensitivity Labels, Policies and Data Loss Prevention) and how they can be used in Microsoft Fabric.
3. Data Discovery with Microsoft Fabric and Microsoft Purview
In this chapter, we’ll share the concepts of how to elevate Fabric item metadata to the next level. Learn about endorsements, data lineage and how your data users can leverage OneLake catalog to get mor out of your Fabric environment.
Bringing data discovery to the next level with Microsoft Purview is also part of this chapter. Learn about the data governance concepts in Microsoft Purview Unified catalog, the data map, data quality as well as how Purview allows you to govern your whole company data estate.
4. Real-World Governance Challenges
Dive into common governance pain points across industries—siloed data ownership, lack of transparency, compliance complexity—and explore how Microsoft Fabric and Purview provide actionable, scalable solutions.
5. Best Practices from the Field
Hear directly from consultants (and maybe Microsoft PMs) who helped shape the platform. Learn what works in practice—governance patterns, pitfalls to avoid, and success stories from early adopters.
6. Looking Ahead: Governance Trends & Innovations
Conclude with a forward-looking discussion on the evolution of governance in the age of AI and hybrid cloud. Discover how Microsoft Fabric is positioned to adapt and lead through continuous innovation.
By the end of the session, participants will leave with both strategic insight and practical skills to build or refine a governance approach for Microsoft Fabric. Whether you're just beginning your governance journey or looking to elevate your existing practice, this workshop offers the tools and perspectives needed to lead with confidence.

Navigating Data Governance in Microsoft Fabric and Purview en

"Embark on a high-flying data governance adventure with Wolfgang, an Austrian data governance experto. In this aviation-themed session, participants will explore the dynamic landscape of data governance within Microsoft Fabric and Microsoft Purview.
Tailored for beginners, this session will cover the foundational principles of data governance, providing a solid framework for effective implementation. Attendees will be taken on an interactive tour, leveraging demo movies to gain practical insights into harnessing the capabilities of Microsoft Fabric and Purview.

Wolfgang will guide participants through strategies for seamless data governance operations, ensuring compliance and security while optimizing workflows. Special attention will be given to the complexities of international data governance, enabling participants to navigate global data landscapes with confidence.

Whether you're a novice or seasoned professional, this 100-minute journey promises a turbulence-free introduction to data governance. Fasten your seat belts for a session packed with actionable insights, empowering you to chart a clear course for data governance success."

From Azure Purview to Microsoft Purview - Unified Data Governance in Shape en

Several years ago, Microsoft introduced Azure Purview, a comprehensive data catalog solution designed to map your hybrid data estate. Recently, the solution has evolved into Microsoft Purview, reflecting a broader focus on unified data governance. This evolution has brought significant updates and enhancements, integrating critical business aspects of data governance into the data catalog solution.

This session will provide an in-depth exploration of the Microsoft Purview Data Catalog, including its Business Domains and Objectives and Key Results (OKRs). Additionally, we will discuss how data quality is seamlessly integrated into the overall solution, offering a holistic approach to data governance.

Join this session to gain valuable insights into leveraging Microsoft Purview for effective data management and governance, ensuring your organization’s data assets are well-governed, high-quality, and strategically aligned with business goals.

AI-Powered Data Engineering with Microsoft Fabric — From Code Gen to Column-Level Impact Analysis en

Data pipelines ship faster than teams can document, test, or trace them. A column rename quietly breaks three dashboards. A schema drift silently poisons a semantic model. Sound familiar?

This session puts AI to work on the problems data engineers actually lose sleep over - demonstrated live inside Microsoft Fabric with real Lakehouse pipelines, notebooks, and OneLake artifacts:

* Code generation: Convert requirements into Fabric notebooks and pipeline JSON using natural-language prompts. See what works, what needs guardrails, and where human review is non-negotiable.
* Living documentation: Auto-generate and continuously sync technical documentation from actual pipeline and notebook code - so docs never again drift from reality.
* Proactive data quality: Let AI inspect Delta table schemas and data distributions to propose validation rules, detect anomalies, and generate test cases - catching drift *before* it hits production.
* Lineage & impact analysis: Answer "What breaks if I change this column?" by tracing column-level lineage across Fabric pipelines, Spark notebooks, OneLake tables, semantic models, and Power BI reports - and visualize the blast radius before the change ships.
* See Project Osmos (the Fabric data engineering agent) in action. How is this one different to other coding agents?

What you'll take home:

* A practical toolkit: which AI capabilities (inside and outside Microsoft Fabric) are production-ready today and which ones to watch.
* Repeatable patterns for AI-maintained documentation and automated data-quality checks.
* An honest evaluation framework: where AI accelerates data engineering versus where it introduces new risks (and more work).

Chopped: Fabric Edition - The Ultimate Data Analytics Challenge en

In this thrilling competition designed to showcase the talent, creativity, and expertise of a select group of participants, our experts will receive "mystery" datasets and specific analytical requirements.

They will have limited time to analyze the data, extract meaningful insights, and present their findings, pushing participants to innovate and perform under pressure. Contestants' approaches, methodologies, innovations, and the clarity of their presentations will be evaluated by the audience.

Join us to witness the excitement and ingenuity as data professionals compete to deliver the most impactful insights from unexpected data challenges.

Data Quality in and with Microsoft Fabric and Microsoft Purview en

One of the main challenges in data analytics projects is the lack of data quality (DQ). This issue can stem from either the source system or the absence of proper business logic and requirements.

But the question remains: is it really necessary to "reinvent" the DQ process for every project, or are there existing frameworks and concepts already integrated into Microsoft Fabric?

Join this session to learn about the data quality approaches built into Microsoft Fabric and the available public frameworks ready to use within Fabric. We'll discuss methods for testing data quality in lakehouses, warehouses, and even semantic models. Additionally, don't miss out on Microsoft Purview and its new data quality features—see them in action and understand how they integrate with Microsoft Fabric data.

By the end of the session, you'll have a comprehensive overview of what's available, what's possible, and what's still missing in the data quality landscape for Microsoft Fabric.

Database Hell hat ein Ende - strukturierte Datenbankentwicklung im Team en

Arbeitest du mit deinen Kollegen zusammen an der Entwicklung und dem Aufbau einer Datenbank, aber es kommt ständig zu Überschneidungen und Konflikten? Hast du Änderungen an der Datenbank vorgenommen, die du gerne rückgängig machen würdest? Suchst du nach einer Lösung, um Content automatisiert vom Test- auf das Produktivsystem zu übertragen? Dann ist diese Session genau richtig für dich. Wir werden gemeinsam Schritt für Schritt ein Datenbankprojekt in Visual Studio aufbauen und dir zeigen, wie du sie nahtlos in deine CI/CD-Pipelines in Azure DevOps integrieren kannst. Ziel dieser Session ist es, dir eine grundlegende Einführung in die Verwendung von Visual Studio für die Entwicklung von Datenbankprojekten zu geben und einige Best Practices für effizientes Arbeiten aufzuzeigen.

Governance in Microsoft Fabric: From Platform Controls to Operating Models en

Microsoft Fabric introduces a unified analytics platform that accelerates how organisations work with data. But how do we ensure data engineering workloads remain secure, compliant, efficient and aligned?

This full-day training focuses on practical governance for data engineering teams working in Microsoft Fabric. We will explore governance controls across three essential dimensions: platform governance inside the Fabric portal, enterprise data governance with Microsoft Purview, and the organisational processes required to govern at scale.

Participants will gain a clear understanding of how to design governed architectures, implement access and identity guardrails, manage capacity cost accountability, and use the OneLake catalog and admin monitoring capabilities to achieve transparency across engineering workloads.

Finally, we connect technology with reality, governance only works when people, processes and risk awareness are embedded into the data engineering operating model.

Govern your Data on Fabric and Beyond : A Pre-Conference Exploration en

In the ever-evolving landscape of governance, where agility, transparency, and efficiency are paramount, the integration of cutting-edge technology becomes imperative. Enter Microsoft Fabric – a transformative platform designed to revolutionize data democratization. This pre-conference session serves as an immersive exploration into the governance capabilities within Microsoft Fabric.

Throughout this session, participants will delve into the multifaceted dimensions of governance, understanding its complexities and challenges in contemporary contexts. By leveraging the power of Microsoft Fabric and Microsoft Purview, attendees will uncover innovative strategies to streamline decision-making processes, enhance compliance frameworks, and foster greater accountability.

Key highlights of the pre-conference session include:

Introduction to Governance within Microsoft Fabric: Gain comprehensive insights into the foundational principles and governance functionalities of Microsoft Fabric.

Navigating Governance Challenges: Analyze prevalent governance challenges across industries and jurisdictions, and discover how Microsoft Fabric and Microsoft Purview offers bespoke solutions to address these obstacles effectively.

Best Practices: Learn from Microsoft PMs who have developed the platform to drive tangible outcomes and achieve organizational objectives.

Interactive Workshops and Demonstrations: Engage in hands-on workshops and live demonstrations to gain practical experience for setting up Governance on Microsoft Fabric within your organization. Harness the platform's features to develop customized governance frameworks tailored to your specific needs.

Future Trends and Possibilities: Anticipate the future trajectory of governance and technological advancements, exploring how Microsoft Fabric is poised to evolve in tandem with emerging trends.

By the end of this pre-conference session, participants will emerge equipped with a comprehensive understanding of how Microsoft Fabric can serve as a cornerstone for analytical practices. Whether you're a policymaker, regulatory authority, or industry practitioner, join us on this transformative journey to unlock the full potential of governing your Microsoft Fabric estate.

Govern Once, Discover Everywhere: Data Governance with OneLake Catalog en

Data governance is the foundation of trusted analytics and AI. In this hands-on workshop, discover how Microsoft Fabric and OneLake Catalog help organizations find, understand, secure, and govern data at scale. Learn how to leverage metadata, lineage, domains, data products, and governance controls to improve compliance, trust, and self-service adoption. Through practical demonstrations and real-world scenarios, you'll leave with actionable guidance for modern data governance.

Trusted Analytics: Data Quality in Microsoft Fabric & Purview en

Unlock next-level data quality with the combined power of Microsoft Purview and Fabric. Discover how Fabric’s built-in governance creates truly trusted data assets, while Purview’s profiling, rules, scoring, and alerts deliver end-to-end visibility across lakehouses, warehouses, and semantic models. Leave with practical steps to confidently govern, monitor, and elevate your data quality.

Governing Your Microsoft Fabric Estate – Strategy, Practice, and Vision en

In today’s ever-growing data landscape, effective governance is no longer optional—it’s a strategic imperative. Organizations face pressure to be agile, transparent, and compliant while managing increasing volumes of data across complex environments. This workshop provides a focused, hands-on exploration of how Microsoft Fabric, in combination with Microsoft Purview, empowers organizations to tackle these governance demands.
Designed for data leaders, governance professionals, and architects, this pre-conference workshop is structured to guide participants through the essential principles, tools, and practices needed to establish a strong governance foundation within the Microsoft Fabric ecosystem.
Workshop Learning Outcomes
Participants will:
• Understand the core governance capabilities of Microsoft Fabric and Microsoft Purview.
• Learn how to design and implement governance strategies tailored to organizational needs.
• Gain hands-on experience with configuring governance tools and policies.
• Learn how to secure your data estate in Microsoft Fabric
• Explore real-world use cases and learn from project experiences.
• Anticipate and prepare for future trends in data governance.
Workshop Agenda
1. Foundations of Data Governance (in Microsoft Fabric)
Kick off the session with an introduction to data governance, the roles involved and how to start your data governance initiative. Learn how to map roles to Microsoft Fabric and Microsoft Purview personas.
2. Mange and Secure your Fabric data estate
Dive into the governance concepts in Microsoft Fabric. Understand key concepts such as data domains, workspaces within the Fabric framework.
In a Hands-On lab, you will have the chance to work with the admin portal, and create the initial governance items in Fabric.
Security is an important topic. Hear about the different options how to secure your data in Microsoft Fabric. Extend the knowledge with the options of Microsoft Purview (Information Protection, Sensitivity Labels, Policies and Data Loss Prevention) and how they can be used in Microsoft Fabric.
The Hands-On lab guides you through the Microsoft Purview Portal, allows you to configure policies and extend them to Microsoft Fabric.
3. Data Discovery with Microsoft Fabric and Microsoft Purview
In this chapter, we’ll share the concepts of how to elevate Fabric item metadata to the next level. Learn about endorsements, data lineage and how your data users can leverage OneLake catalog to get mor out of your Fabric environment.
Bringing data discovery to the next level with Microsoft Purview is also part of this chapter. Learn about the data governance concepts in Microsoft Purview Unified catalog, the data map, data quality as well as how Purview allows you to govern your whole company data estate.
In Hands-On labs, you’ll practice how to enhance metadata curation in Fabric, see OneLake catalog in action as well as create governance items in Purview and work with the Unified catalog.

4. Real-World Governance Challenges
Dive into common governance pain points across industries—siloed data ownership, lack of transparency, compliance complexity—and explore how Microsoft Fabric and Purview provide actionable, scalable solutions.
5. Best Practices from the Field
Hear directly from consultants (and maybe Microsoft PMs) who helped shape the platform. Learn what works in practice—governance patterns, pitfalls to avoid, and success stories from early adopters.
6. Looking Ahead: Governance Trends & Innovations
Conclude with a forward-looking discussion on the evolution of governance in the age of AI and hybrid cloud. Discover how Microsoft Fabric is positioned to adapt and lead through continuous innovation.
By the end of the session, participants will leave with both strategic insight and practical skills to build or refine a governance approach for Microsoft Fabric. Whether you're just beginning your governance journey or looking to elevate your existing practice, this workshop offers the tools and perspectives needed to lead with confidence.

NOTE to the commitee: we will have Gabi Muenster (Fabric CAT) join this workshop

Democratize with Confidence: Data Quality and Governance in Microsoft Fabric and Purview en

One of the biggest hurdles in data analytics projects is ensuring high data quality (DQ). Poor DQ can originate from unreliable source systems or the lack of robust business logic and requirements, resulting in inaccurate insights and delayed project timelines.
In this session, we’ll explore how Microsoft Fabric simplifies the DQ process with its built-in capabilities and how public frameworks can further streamline implementation. You’ll also see how Microsoft Purview’s latest DQ features integrate with Microsoft Fabric to enable consistent monitoring and governance across lakehouses, warehouses, and semantic models.
By the end of the session, you’ll know how to:
* Leverage Microsoft Fabric’s DQ features for real-world projects.
* Implement and adapt public frameworks for your use case.
* Know how and where to check for DQ issues in your Microsoft Fabric data preparation pipelines.
* Utilize Microsoft Purview to enhance data governance and quality management.
* use the replicated Purview metadata in Fabric to build your own DQ reports.
Whether you’re a data engineer, analyst, or architect, this session equips you with practical knowledge and tools to elevate your data quality strategy with Microsoft’s ecosystem.

Data Engineering in the era of Microsoft Fabric en

I need to be honest: I am a Data Engineer (DE) by heart and SQL is and was my first language of choice!
During my years of professional data wrangling, I went through different waves of DE technologies and hypes.
Since May 2023, a new analytics toolset went into the market: Microsoft Fabric and with it - a way of data massage (or should we call it data wrangling?).
In this session, I will show you the possiblities to get data into Fabric, how to massage your data entities and which options we found out are good to use and others maybe not.
You do not need to know Microsoft Fabric beforehand, I will present the foundational pieces too.
After this session we all should know more about the different Data Engineering options in Microsoft Fabric and when to choose which one.

More than "just" a Data Catalogue - Wirlwind Tour through the Microsoft Purview Universe en

First there was Azure Purview, then the name was changed to Microsoft Purview. And with that name change, the scope of the product was extended to included the Microsoft 365 services dealing with Compliance, Information Protection, Data Loss Prevention, Insider Risk Management and much more.

Join this session, where I will guide you through the Microsoft Purview universe and show you the possibilities of the Microsoft Purview universe.

Let's talk about Data Governance and how Microsoft Fabric brings it to a next level. en

Data Lakes, Lakehouses, Data Warehouses, Data Integration pipelines, notebooks and much more. Data is transformed, stored and reported using more and more technologies. For us as data professionials it is not easy to gain an overview about your data (analytics) landscape.
With Microsoft Purview data catalog, we got a tool to do the inventory of your data landscape, classify data and track lineage.
With Microsoft Fabric, we got an integrated SaaS analytics platform that contains (almost) everything: Data integration, data storage, data lake houses and warehouses and integrated Power BI reporting. How does this approach change in context of data cataloguing? How can we benefit from the integrated approach to get a better understanding of what happens to our data?
Join this sesion to learn more about the concepts of a data catalog, how Microsoft Purview implements this and how Data Governance and Microsoft Fabric work better together.

My 10 favorite Azure Synapse features en

We've got 10 minutes and I want to share my 10 favorite Azure Synapse features with you.
Lean back, enjoy the demos and join me for a whirlwind tour through the Synapse universe!

About the journey to find the best beef ah..data in your organization - And how Azure Purview helps en

To know your data estate and where data of a certain kind is stored and processed is one of the main pillars of data governance. A data cataloguing tool is the answer to solve these questions in an (semi-) automated way.
Azure Purview was introduced to support you on your journey to a better understanding of your data systems, their dependencies and how easy it is to find the (beef/bratwurst/tofu/vegetable) data!

When the standard UI is not sufficient - Azure Purview and the Apache ATLAS API en

Azure Purview has been introduced as the unified Data Governance service. Getting new sources and features every few months, the supported system landscape was broadened.
Sometimes however, the standard sources and features are not sufficient - for example you need to catalogue a system that is not supported by Purview itself. Or you need to query data catalog data from Purview to build documentation or beautiful dashboards.
In these cases, the Apache ATLAS is your friend: with the deep integration into Azure Purview, you are able to extend your data catalog, add and modify data assets plus query data from the Purview data map.
Join this session to get an overview about what is possible and discuss some ideas how the Apache ATLAS API could be used together with Azure Purview.

Data Governance with Azure Purview - Ask the Experts en

In this open session, it's your chance to ask our panel of 3 MVPs about data governance for your business using Azure Purview. Join Victoria, Wolfgang and Erwin as they answer YOUR questions. Submit your questions in advance here https://forms.office.com/r/dTP38LnmsJ
#SQLBitsDGQuestions

Feedback link: https://sqlb.it/?7347

SQL Server Developers - Come and meet Azure Synapse Synapse Analytics, your new home!? en

SQL Server and T-SQL are long time members of the BI and database development world. With the move to the cloud, more and more options were added to the data platform development space.
SQL Server developers, join this session to learn how Azure Synapse Analytics and its parts work together and how you start your Analytics journey in the cloud

Data Governance with Azure Purview and Power BI en

Sometimes, when we talk about governance we discuss if a list of Power BI workspaces is enough governance? Is the Lineage view in Power BI the best of breed?

Join this session if you want to learn more about data governance:
* What is it? Where to start?
* How to start in the context of Power BI and data governance? Is the data governance journey an all-or-nothing decision?
* Learn more about Azure Purview and how it works together with Power BI.

Join this session if you want to hear from our experience of bringing data governance (together with our customers) to a successful start!

Data Governance with Azure Purview in Demos only en

Where and how to start with Data Governance? Is Azure Purview a/the right tool to get into Data Governance?
In this session, Wolfgang guides you through the Azure Purview possibilities - configuring sources, defining scans and rule sets, data classification, business glossary, data lineage, integrations, roles and policies.
Join this session if you want to get a feeling, if Purview is the right choice for you to get into Data Governance on Azure. We'll discuss the current available feature set, the things missing and maybe some integration points you've not known before.

There will be no slides - just Azure Purview & yourself & Wolfgang!

Data Governance with Azure Purview - Theory, Customer Insights and Demos en

Many of us think that Data Governance is a technical problem to solve, but it takes more than just tools to make your Data Governance initiative effective. Only with well defined processes, a set of policies and people with defined roles the solving technology can lead to success.

Join this session to
* learn about the data governance definition, the processes involved, people and their roles as well as policies to define the interaction with your data.
* hear about the experiences from our customer data governance workshops and projects
* see one of the possible technologies - Azure Purview - in action: Data Catalog, classification, business glossary, central policy definition as well as data lineage browsing.

After this session, you should know more about the data governance theory, you've seen Azure Purview in action and heard about the steps we've already solved together with our customers.

Data Governance in a Nutshell – From Theory to Hands-On with Azure Purview en

Data is important for every organization. To know your data estate (systems), their dependencies, the responsible people and processes takes your company's data literacy to the next level.
This topic is called Data Governance, which includes two main streams: a) the organizational processes and policies and the b) the technical tools to support the organizational processes.

Many of us think, that Data Governance is a technical problem to solve, but I would start the Data Governance day with an explanation what DG is. We will talk about the people involved, the processes needed, policies that should be in place and the technology so support the processes.
The overall Data Governance vision and strategy will also be discussed.

After the DG theory part, we will dive into a Data Governance tool - Azure Purview. In the Hands-On lab we will connect to data sources, configure scans, see how Purview classifies data, assign and work with a business glossary, work with & analyze data lineage and see the Purview data catalog in action.
In the last part of the day, we will see Purview integration in action - the Apache ATLAS API will be presented as well the integration into Azure Data Factory and Azure Synapse Analytics.

At the end of the day, attendees should have a feeling about what Data Governance is, the organizational requirements as well as a first look into Azure Purview and how a technical answer to these questions can look like.

My favorite 10 Azure Synapse Analytics features en

Azure Synapse allows you to analyze data of different formats, volumes and sources under one umbrella - the Synapse workspace. You can decide if you want to use SQL, spark or Data Explorer analytic runtimes.
After a few years of customer projects using Synapse Analytics, I want to share my Top 10 features with you. See and feel Synapse in action and demos!
Btw: What is your favorite Synapse Analytics feature?

Best friends? Let's talk about the Relationship of Power BI and Azure Synapse Analytics en

Azure Synapse Analytics is the new star in the cloud data analytics field.
With the goal of combining enterprise data warehousing and Big Data analytics, this service provides an end-to-end solution for data analytics in the cloud.
In the past years, Power BI development was the rising star in the business intelligence field, and with Synapse Analytics a new chapter was added to the data story.
In this session, I would like to provide an overview of the Synapse architecture, the technologies that are similar to Power BI concepts, and how you - as a Power BI developer - can leverage Azure Synapse Analytics to bring your Power BI environment to a next level.

Ach, wo hab' ich nur meine Kundendaten wieder abgelegt...? en de

Daten, Daten, Daten... überall nur Daten..
Wo aber sind unsere Kundendaten abgespeichert?
Es sind oft die Kleinigkeiten welche uns das Datenleben erschweren - mit einem geeigneten Werkzeug - vielleicht einem Data Catalog !? - könnten wir uns hier das Leben erleichtern.
Mit Azure Purview schickt Microsoft ein Data Governance Werkzeug ins Rennen, welches wir in dieser Session beleuchten werden. Was kann es bereits? Was fehlt noch?
Und - ist es mir das überhaupt wert?

Data what? Why you should govern you data! en

Collecting data is one part of the story. Know you data estate is another part. Let's see how Azure Purview can help you to manage and govern your data estate and bring it to another level.
No matter if the data resides in a database, SAP, Power BI or a datalake - Azure Purview can scan and help you classify your data estate.

Azure Synapse Analytics: (Not only) for the Power BI Developer en

Azure Synapse Analytics is the new star in the cloud data analytics field.
With the goal of combining enterprise data warehousing and Big Data analytics, this service provides an end-to-end solution for data analytics in the cloud.
In the past years, Power BI development was the rising star in the business intelligence field, and with Synapse Analytics a new chapter was added to the data story.
In this session, I would like to provide an overview of the Synapse architecture, the technologies that are similar to Power BI concepts, and how you - as a Power BI developer - can leverage Azure Synapse Analytics to bring your Power BI environment to a next level.

Connect your data artifacts with Azure Synapse Analytics en

In human brains, synapses are responsible to connect information pieces together. Over time, our knowledge increases when more and more synapses are connected together. Following that analogy, Azure Synapse Analytics wants to connect (all) information silos together and provide a single point of analytics.
Join this session, if you want to hear about the building blocks of Azure Synapse Analytics, how Data Engineers and Data Scientists and even BI developer can work together in a single service and see how easy it is to start with Synapse Analytics!

How to start with Azure Synapse Analytics - Power BI Developer Edition en

In many cases, Power BI developers are often focused on the possibilities available in the Power BI universe. With Azure Synapse, a broader field for data transformation and integration is opened. What are new parts of the workspace that could be of interest and what are pieces you - as a Power BI developer - are already familiar with?
Join this session to get an introduction to Azure Synapse Analytics for the Power BI Developer!

Continuous Integration for the BI Developer en

In many cases and BI projects, the manual process of development and especially deployment of artefacts led to sleepless nights, emergency hotfixes, grey hair and many hours of stress.
Especially in BI development, the usage of database projects, unit testing, version control, continuous integration and deployment is an underrepresented area.
Join me in this demo-heavy session where I will guide you through the not-so-frightful jungle of continuous integration using SQL Server database projects, SSIS, T-SQLt and Azure DevOps etc.
After this 60 minutes you'll have the guidelines and some ideas how easy it is to change your manual BI development and deployment into a powerful and automated no-brainer that - just works!

PowerPlatform Dataflows –PowerQuery (and more) in the Cloud en de

With PowerPlatform dataflows, users can bring PowerQuery functionality to a cloud-only life. Created in the cloud, processed in the cloud and storing results in the cloud, dataflows can be seen as cloud native part of the ETL within the PowerPlatform.
After their initial start in the Power BI universe, they now reached out into other parts of the PowerPlatform and be one of the future options of ETL pipelines to transfer data into data lakes.
In addition to data transformation, dataflows can be enriched with AI functionality to bring more ML power into your ETL processes.
Join this session if you want to learn more about the current feature set available and see what is new and possible with data preparation in the cloud with PowerPlatform dataflows.

Power Platform Dataflows - PowerQuery (und mehr) in der Cloud en de

Mit den PowerPlatform Dataflows können Benutzer PowerQuery Prozesse in eine cloud-only Architektur überführen. Mit der Erstellung, der Verarbeitung und auch der Speicherung der Ergebnisse in der Cloud können die Dataflows als der cloudbasierte ETL Teil der Power Platform gesehen werden.
Nach dem Start im Power BI Universum, finden sich nun Dataflows auch in anderen Bereichen der PowerPlatform. Ein wichtiger Schritt in Richtung ETL pipelines ist gemacht, aber wo stehen wir heute und vor allem: wo wird die Reise mit den Dataflows hin gehen?

Einige dieser Fragen werde ich in meiner Session behandeln und mich dem Thema Datenaufbereitung in der Cloud mit den Powerplatform Dataflows im Detail beschöftigen.

The Microsoft Power Platform - What is it? en de

The term "Power Platform" was introduced by Satya Nadella and James Philips as the serving foundation for building powerful (cloud-baked) applications with PowerApps, Power BI and Microsoft Flow. Join me in this session to learn more about the super-powers of the Power Platform.

Let your data flow - Introducing Power BI dataflows en de

Power BI serves as a self-service BI platform with a strong focus on data preparation and interactive analysis. With the introduction of Power BI dataflows, self-service data preparation is brought to a new level using well-known and established technologies.

Hybrid Power BI - What is possible? What do you need? en

Power BI as a cloud-based SaaS solution is not limited to cloud data sources. In many projects, hybrid architectures are the key to successful projects using already existing infrastructure.
Besides the on-premises data gateway, there are additional options how a hybrid approach can bring benefits and lead to better solutions.

The Current State of Microsoft Reporting en

With the announcement of the Reporting Roadmap in 2015, Microsoft defined the fundamental concepts of their reporting future. The basic principles in this "reporting manifesto" are: harmonized report types (paginated, mobile, interactive and Excel reports); cloud and on-premises feature parity; SQL Server Reporting Services (SSRS) are the on-premises report distribution platform; and unified mobile experience. SQL Server/SSRS 2016 was the first step into the reporting future; the story continued with SSRS 2017 and with Power BI ReportServer (PBIRS). This session will look at the current state of implementation. What was planned, what is already available today, and what are the missing points so far?

Die Microsoft Power Plattform - Was ist das? en de

Die eigenständigen Technologien PowerApps, Power BI und Microsoft Flow sind erwachsen geworden und arbeiten als Power Plattform stärker denn je zusammen!
In dieser Session werden die einzelnen Teile der Plattform aber vor allem das Zusammenspiel in zahlreichen Demos vorgestellt.

Die Power BI Dataflows - Datentransformation in der Cloud und im Data Lake en de

Power BI ist die Self-Service BI Plattform von Microsoft mit einem starken Fokus auf die Datenaufbereitung, -transformation und interaktive Datenanalyse. Mit den Power BI Dataflows wird die Self-Service Datenaufbereitung in die Cloud gehoben, die Wiederverwendung gestärkt und der persönliche Power BI Data Lake befüllt.
In dieser Session wird das Konzept der Power BI Dataflows vorgestellt, die Unterschiede zu Power Query in Power BI datasets herausgearbeitet und die Möglichkeiten und Konzepte vorgestellt.

Let Me Automate You - Take Power BI To The Next Level en

In the early days, Power BI was placed as a self-service BI tool but as the userbase and deployment sizes within organizations grew, the need for Power BI automation got more important.
Join this session to learn how common Power BI administration tasks can be automated using the CLI, PowerShell and C#, how Azure DevOps can work together with Power BI for continuous integration and in addition, learn how create Power BI artefacts in an automated way.

In the early days, Power BI was placed as a self-service BI tool but as the userbase and deployment sizes within organizations grew, the need for Power BI automation got more important.

Data Governance? Was ist das denn? Und brauch ich das? en de

Daten sammeln kann jeder. Aber einen Überblick über die eigene Datenlandschaft zu bekommen und zu erhalten ist eine spannende Aufgabe.
Betrachten wir gemeinsam Azure Purview und sehen uns die Möglichkeiten an, um unsere Daten zu verwalten, zu katalogisieren und besser kennenzulernen. Und es kommt nicht darauf an, wo und mit welchem System die Daten gespeichert und verarbeitet werden – Azure Purview hilft uns dabei Daten zu finden, zu katalogisieren und zu klassifizieren.

Extend Microsoft Purview with Apache ATLAS APIs en

Microsoft Purview has been introduced as the unified Data Governance service. Getting new sources and features every few months, the supported system landscape was broadened.
Sometimes however, the standard sources and features are not sufficient - for example you need to catalogue a system that is not supported by Purview itself. Or you need to query data catalog data from Purview to build documentation or beautiful dashboards.
In these cases, the Apache ATLAS is your friend: with the deep integration into Azure Purview, you are able to extend your data catalog, add and modify data assets plus query data from the Purview data map.
We will talk about the Apache ATLAS, Eventhub, Kafka and Excel yes! Excel will be included.
Join this session to get an overview about what is possible and discuss some ideas how the Apache ATLAS API could be used together with Microsoft Purview.