If you like writing SQL and need a cheap data platform in Azure, this session is for you. This session will describe the architecture for a metadata driven, minimalistic Azure data platform using Synapse Analytics (serverless SQL) and data lake. You will get to know when this works well, and when it does not.
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Introductory session to Azure Data Explorer that shows some examples how to set up ADX and how to use it.
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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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Data Governance is an enabler. Explore what the new world of Data Governance is and how we help businesses understand the benefits, why it is important, and how to get started in simple agile steps and where Microsoft Purview fits.
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Improve analytic queries by unlocking the secrets of columnstore compression!
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Modern software engineering and management for ETL, so data analysts and engineers can spend less time on tooling and focus on getting value from data.
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Learn some of the root causes of high cloud bills and what you can do to solve them.
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What should you do when DirectQuery is the ONLY available option? How to reduce the data model size, while at the same time satisfying business requirements? I'll share tips, tricks and workarounds learned and implemented in real-life scenarios on enterprise data models.
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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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In this short session, we will go through the what, how and why of Power BI Datamarts. What is this feature you can find in Power BI Service? How can you use it to model your data, improve control and enable self-service? Why should you use Power BI Datamarts?
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Tired of writing the same old Insert/Update/Delete statements over and over? Is your pipelines folder overflowing? Need to get your new data warehouse up and running as fast as possible? Metadata (data about data) comes to the rescue and in this session we’ll show you how.
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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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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.
A guide to available services and solutions for timeseries data
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.
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
Overview to some of the more popular Azure Data Engineering services used to analyze data
I will show a few challenges while deploying Azure Data Factory and solution for them.
This data governance session guides you through the organization processes, policies and roles that are required for a successful data governance adoption. In addition to demos showing the possibilities of Azure Purview (the MS data governance service), we will share about experiences from our data governance workshops and adoption projects with our customers.
I'll explain the current popular data architectures: Data Lakehouse, Data Mesh, and Data Fabric
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