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Providing a business with an organized and propagated data catalogue is essential with ever growing demands and questions about your data platform. How are your data assets organised and how can you track lineage? In this session we will demonstrate how data landscaping can be achieved with Azure Purview and how business terminology and ownership can be assigned throughout.
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Join me on a journey through the different offerings in Azure Arc and how they can benefit you as a data professional!
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0 to an fully functional teams bot in 20 minutes!
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Are you planning a migrating of your data platform to Azure Synapse Analytics? Is it currently based on Azure Databricks, Azure Data Factory, and Azure Data Lake Storage? Make sure to grab these 10 tips! We'll talk about Spark compatibilities, orchestration pitfalls and solution deployment differences.
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Learn how to design for speed, concurrency, and correctness and avoid common database development pitfalls.
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Some types of data are a very bad fit for a database. Join me to see how to survive with a database full of data that should not be stored there. I will demonstrate how to deal with billions of rows of logs without trashing the database, how to store millions of pictures effectively and how to deal with dynamic attributes in a sensible way.
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In this session we will demonstrate how to create value fast with Power Automate. We will do this by showing 5 types of flows that can give value with little development effort
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A guide to available services and solutions for timeseries data
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After understanding the basics, lets take the next step in data modeling in Power BI!
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Tired of slow performing Power BI solutions? Sick of user complaints that their report takes forever to render? If you answered “YES” to either one of the questions above, join us for this session packed with best practices and tips to avoid secret (and non-secret) killers of the Power BI performance! No slides, no long story – it’s just YOU, Power BI, and us!
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A short intro to Lambda Architectures - what they mean, what they are, and how you can use them in your solutions
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In this demo-filled session we get an overview of Azure Data Explorer, which is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. We look at how to ingest data, as well as query in real-time against billions of rows with sub-second latency.
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In this 100% demo session, I will show you kql magic, kql kernel, and the recently released Azure Monitor Logs extension for Azure Data Studio to consume event logs of the Azure SQL database.
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Using open source apache nifi to integrate and ingest data at scale
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I will show you demos for how to implement each layer of defense. This way, if one layer is breached, you aren’t left defenseless. We will start at the outer layer with network access. Next, we will cover the authentication and authorization using Azure RBAC. Finally, we will protect the innermost layer with Data At Rest and Data In Transit encryption. Once these protections are in place, we’ll see how to monitor Azure SQL security ecosystem for intrusions with Advanced threat protection.
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This session will walk you through three different ways to set up an affordable Azure based Data Warehouse solution. Covering pros and cons with each of the architectures.
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Developers can play a real part in making AI more ethical. Whoever owns the world of technology will have an impact on the direction of society. What are they doing about it? What immediate, short-term, medium and long-term steps can they take in order to make ethics part of the organisational DNA? The aim is to compare and contrast ethical toolkits for adopting fairness and ethical standpoints in Artificial Intelligence Projects.
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Asking questions is a very powerful tool, but can be bothersome to wield. By making sure we're supplying the other party with the compact information they need, and making sure we're "forcing" them to give a decent answer, there's a lot more information we can receive. By getting the information we need, we'll be able to proceed quicker, and getting to results faster.
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Understand the automatic performance changes in Azure SQL and SQL Server
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