
Explore Azure ML's no-code approach to machine learning, from data preparation to model deployment, suitable for both beginners and experienced data scientists.

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.

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.

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 Azure SQL Managed Instance's features, benefits, and migration best practices. Learn about architecture, pricing, and disaster recovery for efficient cloud-based SQL Server workloads.

Comprehensive guide to initiating cloud migration, covering key considerations, stakeholder involvement, region selection, timelines, and costs. Equips you with essential knowledge for a successful transition.

Explore SQL Server migration to Azure with near-zero downtime using Microsoft's tools. Learn to assess, plan, and execute migrations efficiently across your data estate.

Explore upcoming features in Azure Data Studio and SQL Server tools, including SQL Notebooks. Learn about recent improvements and get a first look at highly requested functionalities to enhance your database management experience.

Explore improvements in Azure Data Factory for simplified data integration and management, including code-free ETL/ELT and comprehensive data overview, empowering enterprises to handle petabytes of data for valuable insights.

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 new features of SQL Server on Azure VM: enhanced manageability, improved performance, flexible licensing, and integration with unified Azure SQL Service for optimal database management.

Comprehensive overview of infrastructure layers for DBAs, covering hardware, network, storage, virtualization, and operating systems to enhance problem-solving and proactive management skills.

Explore Azure Hyperscale: a cloud-native, scalable database solution offering SQL Server features for innovation and future-proofing. Learn deployment patterns, best practices, and its underlying architecture.

Explore Azure Data Studio's features, benefits, and comparison to SQL Server Management Studio. Learn about its cross-platform capabilities, monitoring tools, and use cases.

Explore comprehensive data quality solutions using Microsoft's Data Platform, including Machine Learning, Azure Data Factory, and SQL Server 2019, to address and resolve data quality challenges.

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.

Comprehensive guide to securing Azure-based data platforms, covering network security, client connections, firewalls, VNET rules, and Azure AD. Includes SQL security features and encryption options for robust data protection.

Explore cloud vendor strengths, migration tools, and service mapping for OLTP and BI-stack migrations. Learn to evaluate single-vendor benefits and challenges for informed cloud platform selection.

Explore Azure SQL Database Edge: optimized for edge computing with streaming support, machine learning, and "develop once, deploy anywhere" capabilities. Learn about features, deployments, and customer scenarios.

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.