Learn how powerful the Azure IoT suite is with Digital Twin and Data Explorer with lessons learned from the field.
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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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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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Based on real world experience let’s think about just how far the breadth of our knowledge now needs to reach when starting from nothing and building a complete Microsoft Azure Data Analytics solution.
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In this session, we will see how to use Delta Live Tables to build fast, reliable, scalable, and declarative ETL pipelines on Azure Databricks platform.
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Hybrid Tables in Power BI - Do you have the courage to mess with them? Jump in and together let's chop the data in static, incremental and instable data that is changing every second…
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In this demo-rich session you will learn how you can implement a framework for data quality validation and monitoring, spanning your end-to-end data platform including Power BI!
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SQLBits' has brought members of the Azure Synapse Program Group to Wales to ask YOUR questions. Bring your questions for: Dedicated SQL Pools, Serverless SQL Pools, Spark Pools, Pipelines, Kusto and everything else Synapse related.
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Join Patrick Leblanc from the Power BI CAT team, Josh Luedeman, and Bradley Ball from the Azure FastTrack PG as we talk about the most powerful Azure Service you’ve never heard of. If only you knew the name of the service. Come to this session, and you’ll never forget it!
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ADF Tips and Tricks which help you to speed up your Azure Data Integration solution,save operational cost and improve performance.
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In this demo filled session, learn how to view lineage data from Databricks Unity Catalog in Microsoft Purview.
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If you are interested in real-time data and analysis of said data, this session is for you. In this session, we look at how we can ingest streaming data from Azure Event Hubs into Azure Data Explorer and perform analysis of that data.
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In this session I'll cover what the Data Lakehouse architecture is, where it fits against existing architectures like a data warehouse, and why you should build one. We'll also cover the underlying technology options to arm you with all of the information you need to plan your next data platform.
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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.
Using open source apache nifi to integrate and ingest data at scale
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.
Overview to some of the more popular Azure Data Engineering services used to analyze data
Oh my goodness - the BI Power Hour is back!!
This session will introduce you to "What and why you should care about", and discuss "how" to apply the Security and Privacy lens for Big Data on AWS.
I'll explain the current popular data architectures: Data Lakehouse, Data Mesh, and Data Fabric
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