
Explore AWS analytics services like Data Migration, S3, Athena, and QuickSight. Learn to build cloud-based analytics solutions using Amazon's infrastructure, platform, and software services.

Explore Google Cloud Platform's infrastructure, databases, and machine learning offerings. Learn its strengths, differentiation from competitors, and successful enterprise use cases in this comprehensive introduction.

Scopri le best practices per SQL Server su Azure VM, ottimizzando performance e affidabilità. Esplora le novità per semplificare la gestione e implementare sistemi HA a costi ridotti in contesti di Hybrid Cloud.

Learn to implement Infrastructure as Code in cloud environments using Terraform, enabling efficient and scalable infrastructure management and deployment.

Explore Azure's relational database options, comparing features, benefits, and costs to help you choose the best solution for storing your information in the Microsoft cloud environment.

Explore Azure Synapse Analytics: Microsoft's comprehensive solution for traditional, big data, and real-time analytics, revolutionizing the approach to modern data warehousing.

Learn to build reliable, repeatable infrastructure deployments using Terraform, an open-source platform for multi-cloud environments. Explore creating a data platform solution and integrating it into DevOps processes.

Explore the evolution of cloud computing with AI on the edge, focusing on pushing logic and ML models from Azure to edge applications using IoT Edge and its custom modules.

Unified data analytics platform for ingesting, preparing, managing, and serving data, combining enterprise data warehousing and big data analytics capabilities.

Explore SQL Notebooks in Azure Data Studio for DBAs: simplify workflows, create diagnostic query notebooks, and discover practical use cases for daily database administration tasks.

Explore how cloud computing and automation are reshaping the DBA role, and learn strategies to adapt and thrive as a data professional in this evolving landscape.

Explore Azure's data security tools: encryption, masking, threat protection, and more. Learn to safeguard your data assets effectively in the cloud environment.

Learn to manage SSIS projects through their lifecycle using Azure DevOps, from initial development to production release, with practical demonstrations and expert guidance.

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.

Explore Azure's data movement and transformation options, comparing SSIS with Data Factory, Databricks, and Logic Apps. Learn ETL patterns and Data Flow features for scalable cloud migration.

Explore modern data modeling trends for transactional applications, addressing challenges in NoSQL, microservices, and cloud environments. Learn to adapt traditional principles to meet current business demands and facilitate rapid changes.

Explore Azure Data Studio's features for managing data platforms, including dashboards, snippets, profiling, charting, and more. Learn when to use it over SQL Server Management Studio.

Learn to evaluate, provision, and optimize Azure SQL Data Warehouse. Covers scalability, cost-effectiveness, data loading, performance improvement, and security best practices for cloud-based data warehousing.

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.

Explore Amazon Aurora's innovative architecture for high-throughput cloud databases, focusing on network optimization, fast recovery, and fault tolerance without distributed consensus algorithms.