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Abhinav Jayanty

Abhinav Jayanty

Data Engineer at Quorum

Edinburgh, United Kingdom

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I’m a Data Engineer and data analytics enthusiast specialising in the Azure data platform, Microsoft Fabric, Power BI, and SQL Server. With multiple Azure and Fabric certifications, I’m passionate about developing and sharing my knowledge and eagerly take any opportunity to present and speak on topics I’ve explored and mastered.

Outside of data, I’m an avid fan of football and Formula 1, and I enjoy cooking, whisky, and making plans to travel the world.

Awards

  • Most Active Speaker 2024

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

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.

Build A Fabric Real-time Intelligence Solution in One Day (Deepdive edition)

Real-Time Intelligence in Fabric is designed to enable organisations to bring their streaming, high-granularity, time-sensitive event data into Fabric and build various analytical, visual and action oriented data applications and experiences with it. In this session, you will learn about what Fabric Real-time Intelligence is meant for and will then build an end-to-end solution using streaming data.

This session will get you hands-on with Real-Time Hub, Eventstream, Eventhouse, Data Activator, Real-time Dashboards, Power BI, and Copilot with combination of Microsoft MVPs and Fabric product group members to guide you along the way.

The end-to-end solution we build together will encompass:
• Discovering and cataloging your data streams using Real-Time Hub
• Connecting to streaming data from various sources around the world
• Cleaning, normalizing, preparing data for superior query time experiences
• Leveraging Copilot to discover streaming data
• Low-code/no-code experiences for data exploration
• Developing dashboards

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.

SQLDay 2025 Sessionize Event Upcoming

May 2025 Wrocław, Poland

Power BI Gebruikersdag 2025 Sessionize Event Upcoming

March 2025 Utrecht, The Netherlands

Data Saturday #49 - Denmark - 2025 Sessionize Event

February 2025 Kongens Lyngby, Denmark

dataMinds Connect 2024 Sessionize Event

October 2024 Mechelen, Belgium

FabFest Sessionize Event

October 2024 Birmingham, United Kingdom

Data Left Unattended - Cambridge Sessionize Event

July 2024 Cambridge, United Kingdom

DataGrillen 2024 Sessionize Event

May 2024 Lingen, Germany

Data Saturday München 2024 Sessionize Event

February 2024 Munich, Germany

PASS Data Community Summit 2023

November 2023 Seattle, Washington, United States

DATA:Scotland 2023 Sessionize Event

September 2023 Edinburgh, United Kingdom

Data Saturday Edinburgh Sessionize Event

June 2023 Edinburgh, United Kingdom

New Stars of Data #5 Sessionize Event

May 2023

Abhinav Jayanty

Data Engineer at Quorum

Edinburgh, United Kingdom

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