9:00 PM - 12:00 AM (UTC)

PLEASE NOTE THAT THIS EVENT HAS REACHED ITS CAPACITY AND IS NOW CLOSED FOR REGISTRATION About this event: Toronto Fabric & Power BI User Group is celebrating its 1st anniversary and the announcement of merging Toronto Power BI User Group under Toronto Fabric & Power BI User Group. In this special event we will be celebrating our milestones of reaching 300+ members and 1K+ followers on LinkedIn. We are delighted to have Neha Sharma, Data & AI Specialist at Microsoft Canada to talk to us about “Unlocking the Potential of Fabric: ROI, Architecture, and Best Practices”. Neha will share her insights on Fabric license, TCO, ROI using standard architecture and end to end process as well as Fabric project best practices and learned lessons from early adopters. We are also excited to have our first demo from our community member Fahad Nawaz. Fahad is a senior data analytics expert with diverse industry experience ranging from FMCG to lifestyle brands. He holds an MBA and a Master's in Business Data Analytics and specializes in transforming data into strategic insights. Fahad will be showcasing an exciting end-to-end demo about the OneLake integration for Semantic Models using Microsoft Fabric. Agenda: 5:00 - Doors Open 5:15 - Welcome and Intro | Ashraf Ghonaim 5:30 - Unlocking the Potential of Fabric: ROI, Architecture, and Best Practices | Neha Sharma 6:30 - Break 6:45 - Community Demo: OneLake Integration for Semantic Models End to End Demo | Fahad Nawaz 7:15 - Job Opportunities Exchange | Ashraf Ghonaim 7:30 - Networking Dinner 8:00 - Closing Looking forward to seeing you all there. TFPUG Team Toronto Fabric & Power BI User Group - Microsoft Fabric Community Toronto Fabric & Power BI User Group | Meetup Toronto Fabric & Power BI User Group | LinkedIn Who is it aimed at? All the Fabric & Power BI User Group community in Toronto

10:00 PM - 12:00 AM (UTC)

THIS EVENT HAS REACHED ITS CAPACITY AND IS NOT CLOSED FOR REGISTRATION This event is a collaboration between the Microsoft Reactor Toronto and Toronto Modern Data Stack Toronto Modern Data Stack Meetup returns after a short hiatus! We're back with more great presentations from data leaders in the community and lots of networking opportunities. In this event, we will deep dive into Phi Models. our keynote speaker will go over some use cases, demo and more for the Phi-3 and Phi3.5 Models. Phi-3 CookBook: https://aka.ms/Sept17Phi-3CookBook Who is it aimed at? Data Engineers, Analytics Engineers, Data Scientists, etc. Learn more about Toronto Modern Data Stack HERE

9:30 PM - 12:00 AM (UTC)

THIS EVENT IS NOW CLOSED FOR REGISTRATION **This event is hosted in collaboration with the Toronto Azure Community Presentation 1: Azure Kubernetes Service (AKS) Security Speaker: Maxime Coquerel - Microsoft MVP During my presentation, I will delve into the diverse security vectors that a malicious actor could leverage to target an Azure Kubernetes Cluster (AKS). I will emphasize several pivotal topics crucial for comprehending and averting security breaches, encompassing: Addressing common misconfigurations in AKS clusters Leveraging Azure Resource Graph for discovery purposes Assessing the risks linked to malicious admission controllers Evaluating potential attacks at both the cluster and node levels. Presentation 2: Build your end to end streaming ingestion using cloud native approach on azure Speaker: Ehsan Eskandari- Microsoft MVP In this presentation, we will unravel the process of building a comprehensive, end-to-end real-time data streaming ingestion system using a cloud-native approach on Microsoft Azure. This talk is founded on a practical project experience, involving the ingestion of real-time financial transactions along with IoT data transactions on Azure. We will delve into how to store this data on the backend, thereby making it accessible for downstream systems. Our exploration will cover various data sharing patterns, including file sharing and the pub/sub model, ensuring that the data is made available in the most suitable and efficient manner. Throughout the session, we will be harnessing the power of several Azure services. We will be utilizing Azure Front Door for secure, scalable content delivery. Azure API Management will be used to publish APIs to external, partner, and internal developers. Azure Functions will be employed to execute code triggered by events. We will leverage Azure Data Explorer for fast and highly interactive analytics, and Azure Event Hub and Event Grid for real-time data ingestion and event routing respectively. Towards the end, we will conduct a load test using Azure Load Testing to evaluate the performance of our solution under simulated load. The results will be monitored and analyzed using Application Insights for Azure Functions, providing a comprehensive view of the solution's performance. Join us in this insightful journey of building an end-to-end real-time data streaming ingestion system on Azure, gaining practical insights and the potential to transform your real-time data ingestion capabilities.

9:30 PM - 11:30 PM (UTC)

THIS EVENT IS NOW CLOSED FOR REGISTRATION This event is hosted in collaboration with the Elastic Toronto User Group Session #1 Title: Establishing Trust and Limiting Risk: Lessons Learned from Building and Scaling an XDR Product Abstract: Building and deploying a security product to millions of users around the world is a monumental task. Maintaining that product and iterating it over time while rapidly resolving detection coverage gaps and mitigating performance issues and false positives can be even more complicated and difficult to manage. Not only does it require a significant amount of resources to establish and maintain a resilient testing & deployment framework, all relevant teams, from software developers to operations to researchers & detection engineers, need to have a common understanding of the development process and artifact lifecycle to ensure common understanding. This talk covers a brief snapshot of our experience navigating through this journey with Elastic’s Security Intelligence team. We will cover the most important lessons learned along the way as well as highlight areas for improvement that could benefit all organizations building products in the security industry. These lessons will be an intersection of the technical capabilities needed to build & scale an endpoint product, but more importantly how to come together as a team across diverse backgrounds and skill sets to effectively keep users protected. Session #2 Title: Developing a GenAI Assistant for Financial Services using Confluent Cloud, Elasticsearch Vector Database, and Amazon Bedrock Abstract: Join us to learn how to build a GenAI-powered assistant for financial services using Confluent and Elasticsearch vector database to boost employee productivity and customer satisfaction. In this session, you will learn about: Developing Kafka-driven RAG pipelines using Apache Flink® offering and the Elasticsearch Sink Connector Elasticsearch Open Inference API

9:00 PM - 12:00 AM (UTC)

This event is now closed for registration This event is hosted by Microsoft Reactor Toronto & Eastern-Europeans in Tech! Join us for an engaging panel discussion on "AI and Cybersecurity: Defending Against the Next Generation of Threats," where industry leaders from the AI and cybersecurity fields will explore the evolving landscape of digital threats. Learn about cutting-edge technologies, strategies, and best practices that are shaping the future of cybersecurity as we face more sophisticated AI-driven risks. Whether you are a tech professional, founder, or investor, this event offers valuable insights on how to stay ahead in the rapidly changing world of cyber defense.