Data Engineering Fundamentals | Part 2

🚀 Welcome to **Data Engineering Fundamentals** — your complete beginner-friendly guide to understanding the world of modern Data Engineering.

In this series, we will learn how data moves from different sources into powerful analytics and AI systems used by companies today.

📌 In This Video:
00:00 - Intro
00:11 - opening
07:42 - Storage of Data Engineering
10:04 - Object Storage
16:55 - DataLake
24:09 - DataLake vs Datawarehouse
29:41- Datawarehouse
32:12- LakeHouse
34:16- Structured Data
35:32- Semi-Structured Data
37:08- Structured Data vs Semi-Structured Data
40:07- UnStructured Data
41:21- DataLake vs Datawarehouse vs LakeHouse
59:28- OLTP vs OLAP
01:05:44- Question of Video

💡 Video Material:
https://drive.google.com/drive/folders/1X6BCvbGsJVQSAXPGlIYcHnjFKB4go24c

💡 This playlist is designed for:

* Beginners in Data Engineering
* Data Analysts transitioning to Big Data
* Software Engineers interested in Data Platforms
* Anyone wanting to understand modern data systems

🛠 Technologies and Concepts Covered in this Playlist:

* SQL
* Data Warehouses
* Data Lakes
* Apache Spark
* Apache Kafka
* Airflow
* Cloud Platforms
* ETL/ELT Pipelines
* Batch & Streaming Processing

🔥 Start your journey toward becoming a Data Engineer today.

📢 Subscribe to the HandOver channel for more Data Engineering, Big Data, and Modern Tech content:
https://www.youtube.com/@HandOver22/videos

💼 Connect with me on LinkedIn:
https://www.linkedin.com/in/omar-ahmed-0999b518b/

#DataEngineering #BigData #ETL #ELT #ApacheSpark #DataEngineer #CloudComputing #DataAnalytics #datalake #datawarehouse

Видео Data Engineering Fundamentals | Part 2 канала HandOver