Join this session to learn about the Warehouse experience within Microsoft Fabric. Microsoft Fabric is an end-to-end big data Software as a Service (SaaS) analytical platform that offers many capabilities. One of those capabilities is the Warehouse experience which provides a fully cloud native, massively parallel processing, self-optimizing, and scalable SQL engine with ACID transactional guarantee. The Warehouse option is a great choice for teams who prefer to use SQL as their main development language.
In this session, you will learn how to create a warehouse in Microsoft Fabric, load it with sample data using Data Factory pipelines and Dataflows Gen 2, write ad-hoc queries using SQL, and work with the default and custom Power BI datasets to empower end user analytics.
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Shabnam Watson is a Business Intelligence consultant, speaker, blogger, and Microsoft Data Platform MVP with 20+ years of experience developing Data Warehouse and Business Intelligence solutions. Her work focus within the Microsoft BI Stack has been on Analysis Services, Power BI, Azure Synapse Analytics, and most recently with Microsoft Fabric.
She has worked across several industries including Supply Chain, Finance, Retail, Insurance, and Health Care. Her areas of interest include Power BI, Analysis Services, Performance Tuning, PowerShell, DevOps, Azure, Natural Language Processing, and AI.
She is a regular speaker and volunteer at national and local user groups and conferences. She holds a bachelor’s degree in computer engineering and a master’s degree in computer science.