Data Warehouse, Data Mart & Data Lake| Technology and Analytics | Section F | Part 1 | Episode 96
Key Takeaways
Compares and contrasts data warehouse, data mart, and data lake in data engineering
Original Description
Link for Notes
https://drive.google.com/file/d/1tV9fr_LKHajI4_5pQQvvUWmoJ85g1vXE/view?usp=sharing
🔗Link for MCQ Questions
https://drive.google.com/drive/folders/1PcdxWHOlwQLuTSPANj2DQDKHNH756qH1?usp=sharing
🔗Link to English Channel - EduCafia Global
https://www.youtube.com/@EduCafiaGlobal
🔗Official Website
https://www.educafia.com/
00:00 Data Warehouse
06:54 Data Mart
09:43 Data Lake
RABEEH OVUNGAL
#cmausa #cmausapart1 #technologyandanalytics #sectionF #icma
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Data Warehousing
View skill →Related Reads
📰
📰
📰
📰
I Built My Second ETL Pipeline. This Time, I Started Thinking Like a Data Engineer
Towards Data Science
JuiceFS Sync for PB-Scale Data Transfers: Resumable Sync, Encryption, and Bandwidth Control
Dev.to AI
How Airflow is using AI to make data engineering more resilient, not more complex
Medium · AI
What Can We Do When Memory Becomes the New Bottleneck in Data Engineering?
Towards Data Science
Chapters (3)
Data Warehouse
6:54
Data Mart
9:43
Data Lake
🎓
Tutor Explanation
DeepCamp AI