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Explore higher Normal Forms in database design, debunking myths and enhancing your skills. Learn to identify, check, and understand the consequences of violations for improved database architecture.
Discover advanced Power BI automation techniques using CLI, PowerShell, and C#. Learn to streamline administration tasks, implement continuous integration, and create artifacts automatically.
Strategies for efficient data retrieval from SQL Server, comparing methods like stored procedures and ORMs. Includes implementation examples in .NET and tips for performance tuning and database structuring.
Learn to build high-performance applications using Amazon Aurora, a MySQL- and PostgreSQL-compatible database. Explore scalability, high availability, disaster recovery, and global replication for open source databases on AWS.
Learn strategies for monitoring and optimizing database performance in cloud-based "as-a-service" environments, exploring built-in tools and purpose-built solutions to ensure optimal database health and query efficiency.
Explore essential non-technical skills for data professionals: embracing diversity, fostering belonging, and practicing allyship. Learn techniques to cultivate inclusive cultures and become a better ally in the tech industry.
Techniques for efficient data processing through chunking: balancing set-based operations and loops, improving performance, handling application impact, and managing interrupted operations.
Explore SQL Server Integration Services, Analysis Services, and Reporting Services on Amazon RDS. Learn cost-saving strategies, configuration, security, and reliability for Microsoft BI toolkit on cloud infrastructure.
Explore rapid data modeling and prototyping using Power BI Desktop. Learn to connect, cleanse, and model data from various sources, creating quick reports for project approval without licensing costs.
Discover how to implement source control in Business Intelligence environments, improving version management, tracking changes, and facilitating parallel development for databases, cubes, and reports.
Optimize SQL Server 2019 hardware selection for performance and cost-efficiency. Learn to evaluate workloads, choose processors, and navigate licensing changes to maximize database server capabilities.
Explore the pros and cons of containerizing SQL Server workloads, examining architectural differences, advantages, and challenges to help decide if containers are right for your production environment.
Explore data visualization ethics, examining how color and chart choices influence storytelling. Learn to create truthful, impactful visualizations while protecting your company's reputation.
Explore agile data warehouse modeling techniques beyond traditional norms. Learn to build flexible, auditable solutions adaptable to various industries, leveraging MDM and Azure for enhanced performance and data integration.
Learn to build and maintain an evergreen catalog of your SQL Server estate, enabling agile data governance. Discover best practices for data classification, protecting sensitive information, and ensuring compliance with privacy regulations.
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