
Learn to develop extensions for Azure Data Studio using Typescript, exploring APIs, GitHub hosting, and marketplace sharing. Gain practical skills through a live demonstration of building a functional extension.

Explore various high availability and disaster recovery options for SQL Server, weighing pros and cons to find the best fit for your company's needs and requirements.

Explore Azure Data Factory's Mapping Data Flows for efficient, scalable ETL without coding. Learn to transform data using Databricks integration and graphical tools.

Explore Azure Synapse Analytics, a comprehensive platform integrating relational and big data systems for efficient data ingestion, preparation, modeling, and serving in a unified workspace.

Explore cloud-based data warehousing options, comparing Snowflake, Databricks, and Azure solutions. Learn to choose the best fit for your environment based on size, architecture, and unique features.

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.

Explore SQL workload migration to Azure, covering best practices, tools, and real-world case studies. Learn end-to-end migration lifecycle and determine the best approach for your organization.

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.

Learn to use feature flags for flexible database deployments, enabling dark deployments and reducing production impact. Includes T-SQL code examples and demonstrations of implementation in deployment processes.

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 use Azure Data Studio: customize, create insights, use extensions, work with notebooks, and develop your own extensions. Master this cross-platform tool for data-related tasks and T-SQL editing.

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

Explore upcoming advancements in machine learning with hybrid Azure capabilities, focusing on innovative features and potential applications.

Explore Azure SQL's latest security innovations for safeguarding sensitive data, including authentication, encryption, network security, and threat protection in cloud and hybrid environments.

Best practices for deploying SQL Server Always On Availability Groups in virtualized environments, covering on-premises, cloud, and hybrid architectures across VMware, Hyper-V, Azure, AWS, and GCP.

Extend your local SQL Server lab to Azure with a step-by-step guide on implementing a hybrid cloud Availability Group, network connectivity, and highly available Active Directory.

Explore Azure Synapse Analytics, a unified service combining data warehousing and Big Data analytics. Learn about its features, scalability, and integration in modern data warehouses through demonstrations.

Learn to implement Database DevOps using SQL Server containers, Flyway, Kubernetes, and Azure DevOps. Explore strategies for efficient database migrations and build your first CI/CD pipeline for database deployment.