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Discover effective methods for monitoring and managing your Power BI environment, including usage tracking, license management, and data collection automation using Azure and PowerShell.
Explore Azure Databricks for cloud-based big data analytics. Learn cluster setup, collaborative notebooks, and machine learning integration. Discover its role in modern cloud data warehousing.
Explore modern DBA roles across platforms, leveraging existing skills for maintenance, monitoring, and disaster recovery on Windows, Linux, Azure SQL DB, and containers. Future-proof your career in database administration.
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 techniques for evaluating and comparing predictive models across R, Python, SSAS, and Azure ML, with insights on integrating diverse tools for optimal data mining results.
Learn essential database backup and restore techniques, including data files, recovery models, and automation, to safeguard your SQL Server data and prevent job-loss scenarios during disasters.
Explore post-migration steps for SQL Server upgrades, focusing on data accuracy, query performance, and leveraging new optimization features to minimize risks and improve workload efficiency.
Explore the AI ecosystem for DBAs, covering basics, support skills, and in-depth understanding to thrive in AI. Learn about architecture and operationalizing models using Azure ML Server.
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