
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.

Explore machine learning options in SQL Server ecosystem, from edge devices to cloud, covering training, testing, and operationalization for various workloads and design patterns.

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.

Learn best practices for migrating SQL Servers to Azure, including assessment, sizing, and data transfer. Discover cost-saving strategies, hybrid deployments, and tools for efficient Azure migration of existing SQL infrastructure.

Learn to automate SQL deployments and upgrades using PowerShell, starting with basics and progressing to multi-server scripts using JSON files.

Optimize SQL Server licensing costs with expert guidance on editions, models, and scenarios for virtual environments, high availability, and non-production setups.

Automate SQL Server deployment and management using dbatools PowerShell module. Learn installation, configuration, and operations techniques for efficient multi-system administration.

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

Learn strategies for planning, architecting, and scaling data warehouse infrastructure from terabytes to petabytes using real-world examples for on-premises and cloud solutions.

Explore and transform massive data in Azure data lakes using SQL Serverless for Synapse. Learn to leverage T-SQL for analytics, BI, and ML at petabyte scale.

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 practical strategies for implementing database DevOps, addressing challenges in data management, and optimizing deployment processes for both on-premises and cloud-based environments.

Transition SQL Server skills to CosmosDB: Learn NoSQL concepts, JSON, multi-models, and key differences in monitoring and data structure. Prepare for a new approach to database management and optimization.

Automate Excel tasks using PowerShell and Jupyter Notebooks. Learn to create self-service solutions for users to generate custom Excel workbooks efficiently and effectively.

Discover efficient SQL Server query tuning techniques using Quest Foglight and SQL Optimizer. Learn to identify bottlenecks, analyze execution plans, and optimize database performance systematically.

Explore Azure SQL Managed Instance's latest enhancements for modernizing SQL applications, including improved migration, security, and manageability features for optimal cloud transformation.

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

Learn optimized T-SQL coding techniques for SQL Server, including Sarg-ability, performance improvement, SQL injection prevention, parameterization, and dynamic SQL best practices through real-world examples.

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.

Accelerate machine learning pipelines using SQL Server on Red Hat Enterprise Linux and OpenShift. Learn in-database ML techniques and containerization for efficient model production and deployment.

Explore Polybase, Microsoft's linked server replacement, for connecting to diverse data sources. Learn setup best practices, scale-out groups, AlwaysOn integration, and performance optimization techniques.