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...

Medallion Architecture: A Blueprint for Data Insights and Governance - Data Engineering Process Fundamentals

Overview Gain understanding of Medallion Architecture and its application in modern data engineering. Learn how to optimize data pipelines, improve data quality, and unlock valuable insights. Discover practical steps to implement Medallion principles in your organization and drive data-driven decision-making. Follow...

Building Real-Time Data Pipelines: A Practical Guide - Data Engineering Process Fundamentals

Overview In modern data engineering solutions, handling streaming data is very important. Businesses often need real-time insights to promptly monitor and respond to operational changes and performance trends. A data streaming pipeline facilitates the integration of real-time data into data warehouses...