Abhi Jayanty

Fabric offers workloads for batch and streaming data ingestion and in this session, we will cover the practical use cases and implementations of both approaches.

*Pre-registration is required. Login to your booking, click modify booking, scroll down + next, add the lunch and complete to the end* Diversity strengthens the data community by expanding the questions we ask, the perspectives we consider, and the solutions we build.

Everyone knows that a great BBQ is all about food fresh from the grill. Cooked just the way you want it, ready for when you want to eat. Who wants to wait around while it’s prepared through a long series of scheduled steps? Business users always feel the same way about data. They want it fresh and they want it now. Even if you are building a 'traditional' ETL, using an event-driven architecture can bring you faster insights for you to take action on quicker. Real-time Intelligence in Microsoft Fabric can help you to seamlessly process and analyze highly granular, event-driven data. At its core lies the Kusto engine and the Kusto Query Language (KQL), delivering powerful capabilities for real-time data analysis. This session explores how you can leverage RTI to build efficient, event-driven solutions in Fabric with real-world examples. In this session, we will discuss: - The key components of Real-Time Intelligence, including the Real-Time Hub, Eventstream, Real-Time Dashboard, and Activator Fabric items. - Key features of KQL that make it a game-changer for analysis of data in motion, including syntax, built-in functions, and operators, demonstrated through live queries on sample real-time data. Come along if you are a developer, data engineer, or analyst seeking practical examples and best practices for crafting KQL queries to drive real-time data analysis and actions. You will leave this session equipped with the skills to unlock the full potential of real-time data in Fabric.

Real-time Intelligence in Microsoft Fabric empowers data professionals and business users to seamlessly process and analyze highly granular, event-driven data. At its core lies the Kusto engine and the Kusto Query Language (KQL), delivering powerful capabilities for real-time data analysis.

When it comes to performance monitoring and optimization across the Azure SQL family, everyone has their own preferred routines. Whether it's using dynamic management views and extended events, digging through Query Store, or looking at Azure Metrics, the goal is always the same: figure out what's going on and fix it fast. You may not have heard of Database Watcher, but it's worth spending an hour having a look at a native Microsoft tool for monitoring your databases. That means you don't have to ask your boss for yet another license for yet another tool! Join us in this demo-rich session to understand how you can finally manage Azure SQL at scale with minimal setup and overhead.. You'll learn what Database Watcher offers out-of-the-box in terms of insights, alerts, and reports. We'll also show how you can start to analyze the performance data stored by Database Watcher with T-SQL or Kusto Query Language (KQL) and then visualize that data with your own custom visuals and dashboards in Power BI and Real-Time Dashboards in Fabric. By the end of this session, you'll understand how quick and cost-effective Database Watcher can be to help you save time, reduce guesswork, and work smarter (not harder).

Change Data Capture (CDC) is an efficient method to keep your data integrations up-to-date, performant and cost-effective. Instead of reloading your entire dataset, you simply capture any inserts, updates and deletes in your source data.

Real-time Intelligence in Microsoft Fabric empowers data professionals and business users to seamlessly process and analyze highly granular, event-driven data. At its core lies the Kusto engine and the Kusto Query Language (KQL), delivering powerful capabilities for real-time data analysis.

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…

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…

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.

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 and activities, 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). You'll learn how to manage and optimise your Azure estate 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.

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 currently dominate the field. Data can assist in making key decisions during a match, identifying performance gains, tracking an athlete's physical condition, but it can also help fans engage more with the sport with powerful insights. This session will explore the current level of data analytics in top-level sports such as football, rugby and Formula 1 as well as an introductory overview and examples of how tools like Kusto (KQL) can be used to ingest, analyse and visualise sample sports data in real-time. You'll also gain a better understanding of how Microsoft Fabric and the Azure platform's wider data analytics offering can be leveraged to get the most out of telemetry and IoT data for different business use cases.