Explore key concepts in data engineering and storage through this comprehensive 27-minute video. Dive into modern and post-modern data stacks, comparing data lakes, data warehouses, and lake houses. Understand the differences between ETL and ELT processes, their best use cases, and examine data transformation pipelines. Learn about data mesh architecture and its implications. Gain insights into specific tools like Snowflake Data Warehouse and their role in data transformation. Perfect for data professionals looking to expand their knowledge of current data engineering practices and storage solutions.
Data Engineering and Storage Concepts - With ETL, ELT, Warehouse, Lake, and Lake House
Overview
Syllabus
Content Intro
What is answered?
Part 1 Content
Data Storage and Analysis
Data Warehouse
Data Lake
Lake House
Data Pipeline
Data Warehouse Pipeline
Data Lake Pipeline
ETL
ELT
ETL & ELT Example
ETL & ELT Best Use
Snowflake Data Warehouse
Transformation in Data Warehouse
Data Transformation Pipeline in Data Warehouse
Data Mesh
Conclusion
Taught by
Prodramp
