Unlock the Blueprint: Design and Planning Phase - Data Engineering Process Fundamentals

Overview The design and planning phase of a data engineering project is crucial for laying out the foundation of a successful and scalable solution. This phase ensures that the architecture is strategically aligned with business objectives, optimizes resource utilization, and mitigates potential risks. In...

Decoding Data: A Journey 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...

AI - A Learning Based Approach For Predicting Heart Disease

Abstract Heart disease is a leading cause of mortality worldwide, and its early identification and risk assessment are critical for effective prevention and intervention. With the help of electronic health records (EHR) and a wealth of health-related data, there is a significant opportunity to leverage...

Data Engineering Process Fundamentals - An introduction to Data Analysis and Visualization

In this technical presentation, we will delve into the fundamental concepts of Data Engineering in the areas of data analysis and visualization. We focus on these areas by using both a code-centric and low-code approach. Follow this GitHub repo during the presentation: (Give it a star) https://github.com/ozkary/data-engineering-mta-turnstile Read...

Data Engineering Process Fundamentals - Unveiling the Power of Data Lakes and Data Warehouses

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 the...