
Discover SQL Server's Temporal Tables: automate data history tracking, simplify time-based analysis, and explore new querying syntax for efficient data management and auditing.

Discover essential techniques for data preparation in AI/ML projects. Learn to source, clean, and transform data effectively, enhancing the quality and predictive power of machine learning models.

Explore dbatools PowerShell module for efficient SQL Server management. Learn installation, automation of routine tasks, and advanced features to streamline database administration workflows.

Learn Python basics, data manipulation, and integration with Microsoft tools for enhanced data analytics and machine learning capabilities.

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.

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 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 to set up, use, and deploy CosmosDB for globally distributed, scalable database solutions. Explore JSON data loading, PowerBI visualization, and seamless cloud migration.

Discover humorous and creative SQL techniques to enforce best practices, prevent errors, and maintain control over your database environment. Learn unconventional methods to address common DBA challenges.

Explore SQL Server's native encryption methods, Azure Key Vault, and Always Encrypted to safeguard your data. Learn implementation techniques and potential issues for modern data security.

Explore new features for migrating legacy SSIS to Azure Data Factory, including Azure-SSIS Integration Runtime, Azure Files integration, and batch assessments using Data Migration Assistant.

Explore Azure DevOps for database CI, using local agents for automated testing and validation. Learn to improve teamwork and code quality in database development.

Explore SQL Server's cardinality estimation process to optimize query performance. Learn how to influence physical operations, handle multiple predicates, and tackle complex query plans.

Discover ML.NET: Build machine learning applications using C# and .NET. Learn data preparation, model evaluation, and deployment techniques for integrating ML capabilities into your .NET projects.

Structured approach to modernizing data platforms, focusing on Microsoft technologies. Covers migration tools, techniques, and steps for improved performance, security, and cost-efficiency.

Discover essential SQL Server performance tuning techniques, from memory optimization to configuration changes, with real-world scenarios and practical solutions for immediate improvements.

Learn PowerShell fundamentals for DBAs: syntax, TSQL translation, and practical applications. Discover how this powerful tool can enhance your database administration skills and workflow efficiency.

Explore Google Cloud SQL for SQL Server: architecture, provisioning, analytics, security, high availability, and replication. Learn best practices and tools for leveraging this managed database service.

Learn to harness PySpark for big data analytics, covering RDDs, DataFrames, transformations, and machine learning. Gain practical skills for efficient data processing and analysis using Python and Spark.

Explore Azure Arc's hybrid cloud capabilities for data services, including SQL Managed Instance deployment, encryption, and authentication, with practical demos and insights.

Discover secure Power BI data sharing strategies, governance planning, and collaboration techniques to empower your organization while avoiding potential data breaches and privacy risks.