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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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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Introductory view into Azure Synapse Analytics
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A short, fast dive into the specific elements of Azure Purview that work well with Data Lakes, and how you implement them yourselves
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A intro session showing the whys, how's and what's for building a Data Lakehouse in Azure Synapse Analytics
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I'll explain the current popular data architectures: Data Lakehouse, Data Mesh, and Data Fabric
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Reality Check on Microsofts Enterprise Scale Analytics Framework
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Being data-driven is all about making decisions based on insights generated using data.​
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Being data-driven is all about making decisions based on insights generated using data.​
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Trying to rapidly build out an Engineering function to meet internal demand? Struggling to hire/retain the right resource and team structure? Listen to How Heathrow have laid out the foundations and accomplished a true Data Transformation by leveraging a partnership with Adatis. A must see, intriguing session to see how a Data Platform has been brought to life in Aviation.
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Building a Data Quality implementation in Purview using the Glossary and Databricks
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In this session we will go through the concepts that you need to grasp in order to get started with infrastructure as code for Azure. We will look at how the process for managing resources in Azure changes compared to the way we've previously done it, and finally we will explore a complete workflow of deploying your Azure data platform architecture as code using Terraform and how to work on that code with your team.
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A session following the evolution of lakehouse architectures alongside the new techniques for code automation & metadata management they unlock
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What happens when you mix one rapidly-changing startup, one data analyst, one data engineer, and one hypothesis that Azure Synapse Analytics could be the right tool of choice?
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This session will discuss a custom solution we have built to solve the problem of row level encryption in a highly complex data lake.
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A variety of 5 minute sessions to include:
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Join the Power Query Dataflows product team to learn about current state and future plans for Power Query, Connectors & Dataflows capabilities in Power BI and beyond.
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Join me to learn how to migrate a traditional DW transformation process to Spark/Scala based platform and reuse existed experience
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