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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. In this session, we will discuss some of the new capabilities introduced to get the most out of your databases, like Configurable Retry Logic to make your applications more resilient out-of-the-box, or various security-related improvements that have been added. We’ll also discuss new specific capabilities, like support for Azure SQL temporal tables in EF 6 and all the performance improvements that have been introduced.
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0 to an fully functional teams bot in 20 minutes!
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In just 20 minutes We are going to entertain you with 10 cool things about Azure SQL Managed Instance that you might not know, but that can be extremely useful
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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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Come get your questions answered live on stage by members of the Microsoft engineering team. This will be a fun and interactive session hosted by Bob Ward. We will take questions live from the audience plus those who are connected virtually.
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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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Introduction into Terraform, Databricks provider and steps required to build an automated solution to provision Databricks workspace and resources into Azure cloud platform using Terraform.
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Understand how to get started with any machine learning project using Databricks AutoML
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Join us, as we explore the capabilities of Azure Arc-enabled SQL Managed Instances.
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