PowerBI has 37 visuals available to you. However, just a few clicks away, there are 200+ visuals just waiting to enhance your reports. Join me as I give you a quick tour of what is available. From awesome to downright quirky.
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In this new world we're all developers! Whether we're writing application code or describing our infrastructure using bicep or terraform we need to keep it safe. Git and source control is our best option for developing on our own and as part of a team… but git is scary! In this 20 min session we'll go through just enough to git you comfortable with source control.
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Power BI Design is a lot like an art form, a mythical beast to many IT professionals. We’re generally inclined to think very analytically about our jobs, and creativity does not always come naturally. Thankfully, there are some patterns we can apply to design reports which are clean, uncluttered, and user friendly. Learn the science behind design, and a series of logical steps to follow to ensure that your reports always meet the mark.
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Lots of ADF, lots of data, lots of automation and lots of lessons learned. Backups aren't as useful as they look, dedicated pools have several "interesting" features in the small print, ADF is not always your friend and how to mitigate the sometimes deadly embrace of throughput vs concurrency trade off.
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Learn how to integrate Microsoft Forms, Power Automate and Power BI into a live interactive data application!
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Have you been hearing about SQL Notebooks in Azure Data Studio but haven't worked with them yet? Or have you played around with notebooks but not been able to figure out how to make them work for you? Let's jump into SQL Notebooks together as we figure out how we can use them in our day-to-day work!
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After this session, you will be able to conceptualize and implement different Power BI refresh scheduling patterns in ADF/Synapse. You’ll learn what limitations in Power BI you can overcome with an “external” orchestration tool as well as the different building blocks available. Finally, we will go through an example implementation as well as a step-by-step demo of how you can set this up yourself.
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During this session, we will talk about Azure Databricks' key features, and typical scenarios where Spark can fit, will see a lot of demos and I will share my top list of Azure Databricks best practices.
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How can you everage SSDT in order to deploy DB changes as part of your CI/CD pipeline
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AutoML which stands for Automated Machine Learning empowers data teams to quickly build and deploy machine learning models. It aims to reduce the time and expertise required to generate a machine learning model by automating the heavy lifting of preprocessing, feature engineering, model creation, tuning and evaluation. When it comes to machine learning in Microsoft Azure, there are two main options for running your AutoML: (1) Azure Machine Learning Service and (2) Azure Databricks. This session will aim to introduce how to develop ML models using AutoML on both platforms, as well as the features of each and why you would choose one over the other.
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The session introduces the concept of automated testing and explains how it applies to Power BI solutions, both datasets and reports. Learn about existing tools and approaches and how you can introduce testing scripts to your own CI/CD pipelines.
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Learn how powerful the Azure IoT suite is with Digital Twin and Data Explorer with lessons learned from the field.
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Join us for a pure, demo-driven journey of a dozen incredible features for Azure SQL Managed Instance showing you the greatest and latest innovations enabling Database Administrators and Developers to achieve more. Whether you’re a DBA, Azure Administrator, Developer, Business Intelligence developer, or of course any other data professional, these demos will show how you can achieve more with the exciting features that are available to you. Some of the topics we will cover are hybrid scenarios, performance and scale, application compatibility, workload modernization, compliance, data mobility/migration & business continuity/disaster recovery - and several more - in this fast-paced, demo-only session.
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An overview of the performance enhancing Intelligent Query Processing features in SQL Server 2019 as well as including some new SQL Server 2022 items,
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In this session, seasoned data engineer and youtube grumbler Simon Whiteley takes us on a journey through the current industry trends and buzzwords, carving through the hype to get at the underlying ideals.
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Nondeterministic calculations are calculations that when invoked repeatedly, return different results given the same inputs. Most T-SQL developers understand what nondeterministic calculations are, but many aren’t aware of the possible implications of using nondeterministic code. This session will show you the many surprising aspects of using nondeterministic code and will provide best practices that will help you avoid getting into trouble.
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The building a Data Lakehouse with Azure Databricks session is a dynamic presentation that benefits an array of Data professionals - data engineers, data architects, data analysts - by covering practices and techniques used to move, shape, orchestrate, and organize data that is made available for analytical solutions that build business insights.
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This session session aims to give you that context. We'll look at how spark-based engines work and how we can use them within Synapse Analytics. We'll dig into Delta, the underlying file format that enables the Lakehouse, and take a tour of how the Synapse compute engines interact with it. Finally, we'll draw out our whole Lakehouse architecture
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Power BI provides all the features required to design and implement multi-language reports. However, the path to success is not overly intuitive. The purpose of this Dev Camp session is to explain how to use the Power BI features for Internationalization and localization from the ground up and to provide the guidance for building reports that support multiple languages.
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In this session I’ll show you a practical, visual and less verbose steps that are performed to evaluate the CALCULATE expression that has multiple filters/modifiers.
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Machine Learning, Data Science, Artificial Intelligence. These are all big words we hear coming into our businesses lately - but what does it all mean?! Microsoft has created a set of simple and scalable tools that any developer can use and integrate into their applications super quickly! This session will focus on the various Cognitive Service offerings, where we can understand why and when we should use Pre-Build AI. Come and learn how to take advantage of these awesome services for your everyday work!
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Want to level up your Power BI data modeling skills? During this session you will learn how to deal with different source groups, storage modes and composite models in Power BI. Also, how to avoid redundant measures by implementing calculations groups and the challenge that comes when you combine calculation groups with remote and local Power BI models.
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Power BI has revolutionized the industry by accelerating our ability to deliver Data Analytics solutions. But how do we ensure the code we build is reliable and the data is produced in a timely and trustworthy manner? Enter DataOps, a better way to develop and deliver Data Analytics Solutions. In this session, I’ll cover the concept of DataOps, why it matters to Power BI, and the principles that can drive you to continuously improve.
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Modern software engineering and management for ETL, so data analysts and engineers can spend less time on tooling and focus on getting value from data.
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In this session, we will see how to use Delta Live Tables to build fast, reliable, scalable, and declarative ETL pipelines on Azure Databricks platform.
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When it comes to Power BI Reports design, both slicers and filters have their own space and use cases. However, Slicers and filters are probably among the most frequently misused terms in Power BI design. In this session, we will start with what are Power BI Slicers and filters. What are the differences between and when to use what? We will investigate the pros and cons of each and how to get the best of both filters and slicers in Power BI. By the end of the session, attendees will get an overall view of Power BI slicers and filters in Power BI designing.
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This session will cover all the tools available within Power BI Desktop that can allow us to build accessible dashboards for all end-users.
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Create a Power BI report where the user can choose the display language of headers and content.
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Hybrid Tables in Power BI - Do you have the courage to mess with them? Jump in and together let's chop the data in static, incremental and instable data that is changing every second…
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Many improvements in the accessibility of user interfaces are the result of small changes. In this quick session, you’ll learn about five design changes that greatly increase the accessibility of your Power BI reports that require minimal effort to implement.
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Learn the fundamentals of how to work within Git in this 20 minute session.
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What are Power BI Dataflows? Who is affected? Who benefits? Where is this taking place? When does it make sense? Why is this important in the big picture? How to do it? Attend this session for an overview of Power BI Dataflows and to understand how this piece fits into a Business Intelligence architecture. Some use cases will be presented, and we will let the data flow!
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Explore the changes that have been made to Azure Synapse Analytics and how this has changed it’s use over time. We will review how these feature additions have impacted the methods used for transforming, storing, and querying data so that you can evaluate whether it would be a good fit for your data environment.
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In this talk, we will be leveraging Azure computer vision. The Azure Computer Vision is part of Azure Cognitive Services that provides pre-built, advanced algorithms that process and analyse images. If you want to get started with computer vision but do not know where to start, then this talk will give you a good starting point to jumpstart your computer vision journey. You will leave this talk with an understanding of how to build and deploy your own computer vision models using Azure computer vision.
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Combining data from multiple sources can be performed using a number of different tools including Azure Synapse Integration/Azure Data Factory, Spark and Power BI Data Flows. We will explore which tool or combination of tools to select to best match your data environment.
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Delta Live Tables is a new framework available in Databricks that aims to accelerate building data pipelines by providing out of the box scheduling, dependency resolution, data validation and logging. We'll cover the basics, and then get into the demo's to show how we can: - Setup a notebook to hold our code and queries - Ingest quickly and easily into bronze tables using Auto Loader - Create views and tables on top of the ingested data using SQL and/or python to build our silver and gold layers - Create a pipeline to run the notebook - See how we can run the pipeline as either a batch job, or as a continuous job for low latency updates - Use APPLY CHANGES INTO to upsert changed data into a live table - Apply data validation rules to our live table definition queries, and get detailed logging info on how many records caused problems on each execution. By the end of the session you should have a good view of whether this can help you build our your next data project faster, and make it more reliable.
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An introductory session aimed at users working in low database maturity businesses who are looking to take the first step into structured data organisation.
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Data integrity is a huge concern for every business, especially when it comes to protecting your company's most valuable information and Azure SQL Ledger can be the way to go.
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Let’s discover some solutions for keeping historical data in the database when you receive near to impossible requirements like storing data in same tables forever and being able to edit and query them at the same time, of course keeping the response at its best. Based on a real project case the session walks you through the design process from the start to the reaching of the final solution and making the client (and developers) happy.
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Database refactoring could be tricky sometimes. To learn more about it come to my session, where I will tell you about different situations and scenarios I've came across during the last 10 years. I will share my experience; traps, you easily can get into, and what solutions did I choose to come over it.
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Ever come across a Power BI report that looks like it was built by 20 different people? Avoid report noise and learn how to build your very own Power BI UI templates by creating standardised visuals, slicers, colour palettes and more!
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From a development perspective Power BI gives you some challenges you can't overcome easily. When you and your team are continuously working on Power BI files, you need a central location, to keep track of changes, find differences between versions, check out files and deploy in an easy way. In this sessions we will see how Azure DevOps helps you with versioning, CI/CD-pipelines and tracking changes in datamodels.
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In this demo-rich session you will learn how you can implement a framework for data quality validation and monitoring, spanning your end-to-end data platform including Power BI!
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Microsoft Power Automate, previously Microsoft Flow, is cloud software that enables employees to create and automate workflows and tasks across multiple applications and services without the help of developers.
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This session is a live demo on how to call a REST endpoint and parse the resultant JSON in Power BI.
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Learn how to connect to web API's from Power BI and thereby how to authenticate, parameterize and do a GET or POST request from Power BI
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Take Power BI to the next level to support real-time and BIG data, and find out how hybrid and composite models can open up unlimited flexibility and scalability.
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In this short session, we will go through the what, how and why of Power BI Datamarts. What is this feature you can find in Power BI Service? How can you use it to model your data, improve control and enable self-service? Why should you use Power BI Datamarts?
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Come and learn how to leverage C# to programmatically create and manage columns, measures, hierarchies, and translations within existing data models in Power BI using the XMLA endpoint. Happy coding!
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During the session I will demonstrate solutions using different integrations to achieve a business use case - Power BI with Power Apps - Power Apps with Power BI - Power BI and Power Automate - Power Automate and Power BI - Teams and Power BI
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