
Explore migration and deployment strategies for SQL Server in Azure VMs, covering recommended principles and tools for efficient cloud-based database management.

Live Q&A session with SQL Server Product Managers addressing High Availability and Disaster Recovery solutions for SQL Server 2014 in cloud environments.

Learn to seamlessly back up SQL Server databases to Azure cloud storage using SQL Server Management Studio, enhancing data protection and disaster recovery strategies.

Explore cloud-based Hadoop deployment benefits, including scalability and cost-efficiency. Learn to integrate on-premise and cloud implementations for optimal performance and flexibility.

Explore Microsoft's approach to evolving data warehouse infrastructure, addressing explosive data growth and new data types. Learn about scale-out technologies, in-memory performance, and Hadoop integration.

Deploy databases to Microsoft Azure VMs using SQL Server solutions. Learn efficient techniques for seamless migration and optimal performance in cloud environments.

Explore Amazon Web Services for SQL Server pros: EC2, S3, RDS, NoSQL, and more. Learn to leverage cloud storage, virtual machines, and PaaS solutions for efficient data management and processing.

Explore modern reporting with SQL Server 2016, featuring enhanced paginated reports, mobile BI, and integration with Power BI. Learn to create interactive, responsive reports for various platforms.

Discover how to select optimal algorithms in Azure ML for data analysis and predictive modeling, enhancing your machine learning capabilities and decision-making processes.

Explore Azure SQL Database migrations, including challenges, limits, and best practices for new projects, instrumentation, web apps, parallel processing, and data warehousing.

Explore SQL Server 2016's hero features, including record-breaking performance, enhanced availability, in-memory OLTP, and secure data protection, with practical applications in financial data management.

Explore the differences between relational, non-relational databases, and Hadoop, covering origins, key features, use cases, and Microsoft's data platform solutions.

Explore AWS solutions for SQL Server migration, covering deployment, security, performance monitoring, scaling, storage options, and high availability features.

Explore data science options in Microsoft Azure, including Power BI, Cortana Intelligence Suite, and HDInsight. Learn about pre-built machine learning algorithms and tools for tackling various data science needs.

Explore differences in data loading between Azure ML Lab and PowerBI, focusing on predictive analytics techniques and data visualization for effective decision support systems.

Learn to centrally monitor, diagnose, and report on open source databases alongside SQL Server, Oracle, and DB2 deployments in a single pane of glass.

Explore Azure Data Lake technologies, their benefits, challenges, and implementation strategies for effective big data storage, processing, and analysis in the cloud.

Explore how InfluxData's time-series platform enhances DevOps initiatives, providing granular sub-second monitoring for anomaly detection and performance optimization in microservices applications.

Explore Azure's big data and MPP offerings, including data lakes, HDInsight, and SQL Data Warehouse. Learn about architecture, storage options, and processing capabilities for efficient data management.

Comprehensive guide to migrating on-premise workloads to Azure SQL DB, covering planning, assessment, tools, and best practices based on real-world experiences.

Explore key considerations for migrating to Azure, including assessing current infrastructure, planning the move, and gaining essential Azure knowledge. Learn strategies for a smooth transition to cloud computing.