
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.

Learn to deploy Azure data services on-premises, multi-cloud, and edge environments using Azure Arc. Gain cloud benefits, automation, elastic scaling, and unified management across hybrid infrastructures.

Discover how to integrate database changes into Agile practices, optimize development workflows, and bridge silos between teams for faster, more reliable software delivery in DevOps environments.

Explore SQL Server 2019's enhanced capabilities on Linux and containers, including new features like Replication, DTC, and Polybase, for a robust enterprise database solution across diverse platforms.

Explore efficient SQL Server solution deployment using containers, covering basic and advanced methods, real-world scenarios, and cross-platform portability for streamlined database management.

Learn to automate database operations and deployments for efficient management of hundreds of databases, meeting industry demands for faster, streamlined processes.

Explore Continuous Intelligence, combining Continuous Integration and Business Intelligence for flexible BI application deployment. Learn advantages, challenges, and implementation strategies for Analysis Services.

Explore SQL Server on Linux: installation, configuration, and management. Learn essential Linux commands and file systems for DBAs transitioning to this open platform.

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

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

Automate SQL Server deployment and configuration using PowerShell DSC for consistent, error-free setups. Learn Infrastructure as Code principles and implement a two-replica availability group effortlessly.

Discover Docker's power for DevOps, from basics to advanced uses. Learn to set up, modify images, and deploy databases. Accelerate your tech learning with practical examples and hands-on demos.

Explore innovative HA/DR solutions for SQL Server, including traditional and advanced technologies like availability groups, log shipping, VM replication, and container-based approaches for enhanced data protection.

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.

Learn to deploy SQL Server Big Data Clusters, demystify Kubernetes, and compare on-prem vs cloud deployments. Gain practical tools and scripts for immediate implementation.

Explore methodologies for standardizing SQL Server deployments, identify gaps, and learn how Infrastructure as Code tools like Terraform can enhance and streamline your environment setup.

Explore Azure Data Engineer role: certifications, skills, and duties. Learn about storage, security, DevOps, and automation. Gain insights for certification exams and career advancement in cloud data engineering.

Learn to deploy database code consistently and accurately using Azure DevOps pipeline. Explore techniques for setting up database objects, including security and reports, for successful and repeatable deployments across different environments.

Explore multi-threaded builds, database dependencies, container-based agents, and environment automation for advanced development pipelines in this comprehensive session.

Learn to implement DevOps practices for database deployments, covering source control, automated testing, and continuous integration/delivery through live demonstrations and practical insights.

Explore SQL Server's evolution from Docker support to Big Data Clusters, covering containerization, Kubernetes deployment, and integration with Python for modernized database management and analytics.