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Explore best practices for efficient and secure data access in PowerApps and Power Automate. Learn design techniques and scenarios for sending and receiving data, enhancing rapid solution development.
Explore VertiPaq engine internals, database architecture, and optimization techniques for improved performance and compression in SQL Server Analysis Services Tabular, Power BI, and Power Pivot.
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.
Explore Azure SQL's latest security innovations for safeguarding sensitive data, including authentication, encryption, network security, and threat protection in cloud and hybrid environments.
Explore upcoming advancements in machine learning with hybrid Azure capabilities, focusing on innovative features and potential applications.
Explore Power BI's impact on databases, including query types, frequency, and volume. Learn essential considerations for DBAs before, during, and after Power BI deployment in organizations.
Learn to create and utilize dynamic SQL scripts to enhance productivity and solve programming challenges, while understanding associated risks and mitigation strategies.
Discover secure Power BI data sharing strategies, governance planning, and collaboration techniques to empower your organization while avoiding potential data breaches and privacy risks.
Learn essential Power BI governance strategies to balance user flexibility with risk management in complex deployments across multiple business units. Gain practical techniques for effective implementation.
Explore Azure Arc's hybrid cloud capabilities for data services, including SQL Managed Instance deployment, encryption, and authentication, with practical demos and insights.
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.
Panel discussion on raising awareness and taking action against social inequalities, focusing on diversity, equality, and inclusion within the data community and beyond.
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.
Discover real-world examples and engineering best practices for modernizing SQL and Non-SQL platforms to Azure SQL PaaS, leveraging Microsoft's Data 1st strategy for complex modernizations.
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.
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