Danny Kruge
Mission Critical Engineer from Schuberg Philis
Laren, The Netherlands
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Danny Kruge is a seasoned data professional with a robust background in SQL Server and over a decade of experience in the field. Originally from Leicester, England, and now residing in the Netherlands, he has dedicated years to honing his skills and expanding his expertise into areas like Azure and Windows Engineering. Danny is particularly passionate about Azure Data Factory, where he leverages his deep knowledge to design efficient data workflows. As an active community leader, he organizes the Azure Saturday Netherlands event and the Azure Heroes user group, helping to foster knowledge-sharing and collaboration among tech enthusiasts. Committed to continuous learning and community support, Danny enjoys sharing his insights to help others navigate data challenges and avoid common mistakes.
Area of Expertise
Topics
Unlocking the Power of Optimization in Azure Data Factory
Imagine deploying a project that seamlessly moves data from on-premises to Azure and Power BI—only to find your daily reports taking a staggering 18 hours to run in production.
In this session, I'll walk you through how I transformed this situation by rearchitecting the solution, significantly optimizing the performance. You’ll get an insider’s look at the different architectural designs and solutions available, and I'll share the good, the bad, and the ugly of working with Azure Data Factory.
Whether you’re looking to fine-tune your Data Factory pipelines or seeking ways to make your business more agile with faster data processing, this session is packed with practical insights. Discover how Azure Data Factory can help you achieve more, with less complexity and greater speed. Join me to learn how to turn potential roadblocks into streamlined, high-performance data solutions.
Chat With Azure SQL
In the evolving world of data, the ability to interact with your datasets and databases using natural language is a game-changer. This session will introduce you to the power of Azure OpenAI, Azure SQL, and Microsoft Fabric, showing you how to break down barriers that have traditionally required knowledge of T-SQL or other coding languages. By leveraging Azure OpenAI and Azure AI Search, you’ll learn how to ask questions of your data—like forecasting future trends—without writing a single line of code. We'll explore how to connect various databases and datasets, implement data cleansing, and ensure data quality through advanced prompt engineering. Whether you're a data professional or a business leader, this session will revolutionize the way you think about and work with data. Don't miss out on discovering the future of talking with your data.
Danny and the Data Factory
In my session which i presented at Azure Saturday NL i will be showing a full working data solution. Using Azure function which are called from Data Factory every 2 minutes i move data to Data Lake Storage and using Data Factory move the data into Azure SQL, I then transform the data and also use CDC to move the data in Deltas across tables from Data Factory.
Once complete the data is then updated and presented in Power BI, The session is 50 minutes and I go through explaining what is data factory from the beginning and show the power of moving data explaining a long the way.
WTF (What The Fabric)
Microsoft Fabric? Something you may have heard of? Over the years i have used Azure Data Factory and Synapse which publishes data towards Power BI, Now a game changer is occurring called Fabric! so What the Fabric is happening ;)
I hope to show you use cases and real world scenarios this can be utilized. A setup using PaaS solution and Fabric being the SaaS solution providing the same concept.
Utilizing Data Factory, Synapse, Power bi within Fabric with Data Activator also.
How and when to migrate to Fabric? Big Bang? In Segments and what you need to consider.
Fabric is one product and that may not be one size fits all.
Target audience goes from Data Engineers to Sales, I will walk through the thought process behind Fabric and what audience it really captures. One product cannot be one size fits all.
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