Smart Charts: Powered by AI to enhance Data Understanding

Overview This presentation explores how Generative AI, particularly Large Language Models (LLMs), can empower engineers with deeper data understanding. We'll delve into creating complex charts using Python and demonstrate how LLMs can analyze these visualizations, identify trends, and suggest actionable...

Cosmos DB for MongoDB: Tapping into Change Streams for Real-Time Integration

Overview Azure Functions triggers for Cosmos DB enable developers to write event-driven applications that respond to changes in a collection/container. While this integration works seamlessly with the core SQL API, it doesn't directly support the MongoDB API. To achieve similar functionality with the...

Introduction to Data Lakes and Data Warehouses - Data Engineering Process Fundamentals -

Overview In this technical presentation, we will delve into the fundamental concepts of Data Engineering, focusing on two pivotal components of modern data architecture - Data Lakes and Data Warehouses. We will explore their roles, differences, and how they collectively empower organizations to harness...

A Hands-On Exploration into the discovery phase - Data Engineering Process Fundamentals

Overview The discovery process involves identifying the problem, analyzing data sources, defining project requirements, establishing the project scope, and designing an effective architecture to address the identified challenges. In this session, we will delve into the essential building blocks of...

Live Dashboards: Boosting App Performance with Real-Time Integration

Overview Dive into the future of web applications. We're moving beyond traditional API polling and embracing real-time integration. Imagine your client app maintaining a persistent connection with the server, enabling bidirectional communication and live data streaming. We'll also tackle scalability...