
Explore SQL Server 2019's data virtualization for seamless querying of Oracle tables, with enhanced features like data classification and server-based auditing for comprehensive data management solutions.

Learn techniques for protecting sensitive data across systems using SSMS and SQL Server tools. Explore data classification, dynamic and static masking to ensure data security while maintaining accuracy for testing and analytics.

Learn to classify, report, and audit data using SQL Server tools to enhance data protection, comply with regulations, and prevent breaches. Gain practical skills for effective data management and security.

Explore ML.NET for infusing custom AI into .NET apps. Learn about scenarios, architecture, and hands-on examples like GitHub issue classification and content-based filtering.

Master data-centric zero trust architecture using NIST Cybersecurity Framework guidelines, featuring RackTop's BrickStor SP solution for comprehensive data protection and risk management.

Discover how SK implements Event-Driven Architecture (EDA) on AWS to enhance MyData services, focusing on scalability, maintainability, and user experience improvements.

Explore Microsoft Purview's data governance capabilities, supported sources, and features. Learn to understand and manage your data effectively across free and enterprise tiers.

Simplify data governance, reduce costs, and enable controlled data democratization with Unity Catalog. Learn how KPMG implemented this solution for enhanced data management and AI-powered discovery.

Explore Support Vector Machines through visual explanations, covering key concepts like data separation, perceptron algorithm, classification errors, and the C parameter for optimal model performance.

Explore the consequences of dirty data and learn practical techniques for ensuring data accuracy and maintenance in this insightful talk by Susan Walsh.

Prepare for the CISSP exam with Mike, covering key topics like incident response, patch management, security operations, and threat modeling in this comprehensive study session.

Master cloud data security essentials with DSPM and DDR, focusing on sensitive data management, real-time monitoring, and compliance in modern cloud environments and AI infrastructure.

Explore recommendation systems from basic classification to advanced Netflix-style matrix factorization, covering content filtering, collaboration models, SVD, and PCA techniques.

Explore setting up and implementing sensitivity labels across Power BI, Microsoft Fabric, Azure SQL, and Azure Purview for enhanced data protection.

Explore challenges in MLOps, data platforms, and Airflow with Stephen Bailey. Gain insights on modular job design, data classification, and practical approaches to data engineering and machine learning workflows.

Изучите методы анализа и обобщения результатов контроля разработки, а также структуру и классификацию современных баз данных.