Speaker

Abhinav Jayanty

Abhinav Jayanty

Data Engineer at Quorum

Edinburgh, United Kingdom

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I'm a Data Engineer and overall data enthusiast who loves working with Azure, SQL Server and Microsoft Fabric/PowerBI, taking any opportunity I can to present and speak about anything I have discovered. Having worked in data and AI for just over a year I've achieved multiple Azure certifications and I'm still keen to learn as much as I can about Azure's analytics platforms and services.

When I'm not playing with data, I'm playing FIFA and FPS games as well as being completely obsessed with all things football, cricket, Formula 1 and wider motorsport.

Area of Expertise

  • Information & Communications Technology

Topics

  • Azure Data Platform
  • Big Data
  • Data Science
  • Analytics and Big Data
  • Azure SQL Database
  • Azure Data Factory
  • Azure Data & AI
  • Data Science & AI
  • Azure Data Lake
  • Data Warehousing
  • Microsoft Data Platform
  • All things data
  • Data Analytics
  • Database Administration
  • Data Platform
  • Data Visualization
  • Azure
  • NoSQL
  • Azure SQL Synapse
  • SQL Server

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.

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Abhinav Jayanty

Data Engineer at Quorum

Edinburgh, United Kingdom

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