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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