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Comprehensive Power BI tutorial covering data loading, modeling, report design, and advanced features. Learn to create impactful visualizations and leverage Power BI's full potential for data analysis.
Explore data science processes, feature engineering, and predictive analytics using Python. Learn to create training and predictive experiments with practical examples and machine learning techniques.
Learn to optimize Power BI performance with aggregations, exploring table storage modes, setup, and configuration. Enhance query speed and efficiency in this comprehensive session on advanced data modeling techniques.
Explore AWS analytics services like Data Migration, S3, Athena, and QuickSight. Learn to build cloud-based analytics solutions using Amazon's infrastructure, platform, and software services.
Explore Azure Cognitive Services' Vision category to enhance business decisions with AI models. Learn about Face API, Computer Vision, and Form Recognizer for practical AIaaS implementation.
Learn to create business apps using PowerApps, a no-code solution. Discover how to build apps with drag-and-drop tools and Excel-like expressions, connecting to various data sources like SharePoint and SQL.
Explore QueryStore in SQL Server for effortless performance regression analysis. Learn its functionality, configuration, and practical application in identifying and resolving sudden performance degradations.
Explore SQL Server log shipping for HA and DR, covering fundamentals, setup, use cases, and custom configurations. Gain practical insights through demos for server migration and business continuity.
Maximize your PASS Summit experience with expert tips on planning, budgeting, networking, and session selection. Learn to leverage opportunities and make the most of your investment.
Explore big data architectures, data lakes, and modern data warehousing. Learn about Hadoop, cloud benefits, and strategies to effectively manage and analyze large-scale data for business intelligence.
Explore Power BI's mapping capabilities for geographical data analysis, including standard maps, ESRI options, and data visualization techniques to effectively represent location-based information.
Learn Azure Data Warehouse design principles for optimal performance, covering architecture, data modeling, and practical considerations to balance current and future needs.
Explore column stores for efficient data handling, from creation to optimization. Learn from common mistakes and best practices to implement effective designs from the start.
Explore container deployment in Azure: build images, use Azure Container Registry, deploy to Azure Kubernetes Services, and learn scaling techniques for efficient application management.
Explore Charticulator, an open-source tool for creating custom Power BI visuals without coding. Learn to enhance data visualization and unlock new possibilities for your Power BI reports.
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