
Discover built-in Azure tools for identifying and resolving database performance issues, enhancing customer experience and streamlining troubleshooting processes.

Aprende a utilizar Power BI para consumir información de servicios en la nube de Azure y reforzar estrategias de Business Intelligence basadas en la nube.

Explore strategies to protect Azure data from regional outages, covering SQL Databases, VMs, and Managed Instances. Learn to meet recovery objectives and safeguard your cloud-based applications.

Optimize Azure SQL Database performance using Automatic Tuning, Intelligent Insights, and Extended Events. Learn to leverage these features for time and cost savings while maximizing database efficiency.

Meet Microsoft's Data Engineering team, discuss SQL Server, Azure SQL, and data services. Gain insights into product development, engineering processes, and future plans. Engage directly with PMs in this interactive session.

Learn techniques to optimize queries on Azure SQL Database, improving performance and potentially reducing costs by lowering resource demands and compute size requirements.

Optimize Azure SQL Database performance and availability for mission-critical applications. Learn best practices, configuration tips, and troubleshooting techniques to maximize cloud resources and achieve 99.995% uptime.

Learn to set up an inexpensive system using Telegraf, InfluxDB, and Grafana to collect and visualize SQL Server performance metrics, aiding in troubleshooting and capacity planning.

Discover innovations in SQL Server 2019 and Azure SQL Database that enhance database availability, reduce downtime, and streamline maintenance operations for improved performance and reliability.

Explore PowerShell's versatility in managing diverse data platforms, from Excel to Azure SQL. Learn object-based data handling, code documentation, and sharing through PowerShell Notebooks for seamless integration across Microsoft data products.

Explore PowerApps and AI integration for location tracking, using Bing maps, Azure SQL, and Cognitive Services. Learn to create mobile apps with real-time alerts and location-aware web searches.

Explore groundbreaking enhancements in Intelligent Query Processing for SQL Server and Azure SQL Database, improving critical parallel workloads at scale while adapting to evolving data landscapes.

Explore recent enhancements to Columnstore Indexes in SQL Server 2017-2019, focusing on performance improvements for Data Warehouses and BI solutions. Learn about new features and fixes for high-scale environments.

Explore SQL Server deployment options across on-premises, cloud, and hybrid environments. Learn decision-making strategies for modernizing your data platform and choosing the right solution for your needs.

Discover best practices, tips, and monitoring techniques for optimizing Azure SQL Database performance in production environments, based on real-world Microsoft CSS support cases and customer engagements.

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.

Comprehensive guide to Azure security features, covering SQL Database, Key Vault, blob storage, CosmosDB, and Power BI. Learn to protect data, manage access, and implement best practices for secure data handling in Azure.

Explore SQL Server 2019's Accelerated Database Recovery feature, its mechanics, benefits, and implementation in on-premises and Azure environments for rapid recovery and instant transaction rollback.

Explore Azure SQL Database monitoring using Azure portal, DMVs, and tools for metrics, resource usage, and performance. Learn to configure alerts and analyze logs for effective database management.

Explore Azure SQL maintenance: timing, impact, and control options. Gain insights into Microsoft's patching and update processes for optimal database management.

Automate Azure Data Factory ingestion into Data Lake using BimlFlex accelerators in just 20 minutes. Learn efficient data loading techniques and DataOps automation.