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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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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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SQL bits and London Power BI user group are brining a Q&A panel with some of Power BI CAT team members to ask everything about Power BI. Join us with your questions
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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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Using open source apache nifi to integrate and ingest data at scale
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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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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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In this session we will introduce Azure Container Apps and understand how it can be used as a simple and cost-effective way to host applications in Azure
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Data Engineer is an exciting and rewarding role. This session will describe a data engineer's responsibilities and give an overview of the skills needed to be an Azure Data Engineer.
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Overview to some of the more popular Azure Data Engineering services used to analyze data
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Welcome to Azure DevOps trio, a tale about how a development team and an operations team have to bond together and start using Azure DevOps for Data Platform deployments.
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In this session we will give you an overview of Azure SQL availability and resiliency capabilities. You'll receive a deep dive on architectures, configurations, and our industry leading SLAs which will help you get the right level of availability and resilience your databases need.
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In this session we will share how real-world customers are using Azure SQL in their solutions to store and query trillions of IoT events in near real-time.
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