
Learn data-driven growth strategies, including identifying key metrics, analyzing engagement, understanding funnels and cohorts, and effectively communicating insights to drive business decisions and success.

Insights on evolving big data analytics teams in large corporations, covering changing landscapes, data scientist roles, and teamwork strategies, with best practices and challenges.

Discover how Excel revolutionized Kaman Industrial Technologies' performance measurement, driving micro-changes across 180+ locations and improving profitability in just four months.

Explore Power Map's 3D visualization capabilities in Excel for immersive geographic and temporal data discoveries. Learn to create cinematic tours for sharing geospatial insights across industries.

Explore methods for unlocking insights from unstructured big data using intelligent processes, enrichment techniques, and interactive examination to overcome traditional analysis limitations.

Learn intuitive time series forecasting using Microsoft's algorithm in SQL Server Analysis Services. Explore data preparation, model creation, querying, and result interpretation through Visual Studio and Excel demonstrations.

Explore real-time big data analytics using R, covering data distillation, model development, validation, deployment, refresh, and scoring. Learn to integrate R with Hadoop and database systems.

Learn practical techniques for leveraging data to simplify complex decisions, from buying cars to choosing healthcare, using precision questions, machine learning, and common tools like Excel and T-SQL.

Practical applications of advanced analytics for business problems, including customer churn reduction, targeting, and segmentation. Learn from Microsoft's data scientists solving real-world challenges.

Explore embedding advanced analytics in decision support systems to bridge the gap between potential and actual business impact, enhancing value creation across organizations.

Explore big data management in SQL Azure, covering telemetry scaling, data collection, batch pipelines, and machine learning for efficient database administration at scale.

Learn about SQL Server query optimization, focusing on statistics, heuristics, and row estimations. Explore key concepts and techniques to improve database performance and query efficiency.

Learn to leverage SQL Server Service Broker for asynchronous processing, database integration, and event notifications. Explore architecture, contracts, message types, and implementation techniques.

Explore optimistic concurrency in SQL Server, focusing on in-memory OLTP, isolation levels, and transaction management for improved database performance and scalability.

Learn to optimize SQL Server VM performance through proper sizing, resource allocation, and configuration techniques for enhanced efficiency and cost-effectiveness.

Explore advanced data mining techniques in Excel 2013, including PowerPivot integration, big data analysis, and innovative data mashup methods for enhanced analytical capabilities.

Learn effective strategies for handling multipurpose stored procedures and plan-stability problems in SQL Server, improving query performance and database efficiency.

Mastering parallel query execution techniques for optimal SQL Server performance, focusing on advanced tuning strategies and best practices.

Comprehensive guide to SQL Server query optimization, covering database design, server configuration, and T-SQL coding techniques for improved performance.

Explore time series forecasting with Microsoft Self-Service BI tools. Learn fundamentals, Excel capabilities, and Power View's predictive analytics for visually impressive forecasts and hindcasts.

Learn to optimize SQL Server performance by mastering index creation and usage. Explore clustered and nonclustered indexes, included columns, sargability, and statistics to confidently improve query execution.