The Sixth Sense: Using Log Analytics to Efficiently Monitor Your Azure Environment

Log Analytics sees all, knows all, and is an ever-present help in any Azure environment. Azure Monitor logs and diagnostics can be collected from almost any Azure resource you could ever think of, and can help offer powerful insights on the performance metrics of your resources, keep track of changes and deployments in your environment and more!

This session will cover the benefits and capabilities of Log Analytics and the underlying Kusto engine, and how you can interactively analyse your logs and metrics using the Kusto Query Language (KQL), with demonstrations of how you can visualise resource usage over time, spot anomalies and trends and configure alerting that could be crucial to keeping your business-critical resources up and running. You'll have a better understanding of how you can optimise your Azure usage to manage and monitor your environment more efficiently.

Moneyball: How Data and AI have Revolutionised Analytics in Sports

Data analytics and statistics have not only served as the basis for blockbuster sports dramas but as a key factor in how top teams and athletes in competitive sports dominate the field. Data can assist in making key decisions in real-time, identifying performance gains, tracking an athlete's physical condition, and helping fans engage more with powerful insights.

This session will explore the current level of data analytics in top-level sports such as football, Formula 1, and more, giving you an introductory overview and examples of how tools like Kusto (KQL) and PowerBI can be used to ingest, analyse, and visualise sample sports data in real-time. You'll gain a better understanding of how Microsoft Fabric and Azure's wider data analytics offerings can be leveraged to get the most out of telemetry logs and IoT data for different business use cases.

Join me if you're passionate about data, a sports enthusiast wanting to gain better insights, or even better: both!

Target audience: fans of sports, data, and data in sports.