Justin Cunningham
Director, Data Analytics
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Justin has 15+ years of consulting experience in the Microsoft Data/BI Stack. He started out as a DBA and then shifted into the Data Analytics and Data Engineering space. He is a data enthusiast that loves to help solve complex problems and put customers' minds at ease.
Raw to Refined: Data Curation with Fabric Notebooks
Embrace the future of data transformation with Microsoft Fabric Data Engineering Notebooks in this informative presentation. Tailored for data professionals, we'll unveil the seamless integration and potent capabilities of these innovative notebooks within Microsoft Fabric's ecosystem. This session offers a concise yet comprehensive exploration of their dynamic features, from intuitive scripting to robust data processing. Learn the art of efficient data manipulation, cleaning, and transformation, all within the notebook's user-friendly interface. Discover best practices for structuring your notebooks to enhance readability and efficiency, making your data workflows more effective and streamlined. Whether you're a seasoned expert or a newcomer to data engineering, this presentation will equip you with essential skills to leverage the full potential of Microsoft Fabric Engineering Notebooks, transforming your data curation experience.
Data Catalog: Visualizing Your Data Sprawl
We’ll introduce a unique approach to data cataloging, combining the simplicity of HTML with the power of Mermaid's diagrammatic capabilities. This session delves into creating intuitive, high-level overviews and detailed data flow diagrams, enabling clear understanding and efficient management of all your data pipelines. First, you will view the interactive visualizations that we can create to represent intricate data relationships and processes, transforming how data is transformed and integrated within your organization. Next, we’ll cover the methods for documenting data sources, transformations, and destinations, providing a visual roadmap for both technical and non-technical stakeholders. Finally, you will see how this approach not only enhances data governance and compliance but also aids in identifying bottlenecks and optimization opportunities in your data processes.
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