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1
Content Intro
2
What is answered?
3
Part 1 Content
4
Data Storage and Analysis
5
Data Warehouse
6
Data Lake
7
Lake House
8
Data Pipeline
9
Data Warehouse Pipeline
10
Data Lake Pipeline
11
ETL
12
ELT
13
ETL & ELT Example
14
ETL & ELT Best Use
15
Snowflake Data Warehouse
16
Transformation in Data Warehouse
17
Data Transformation Pipeline in Data Warehouse
18
Data Mesh
19
Conclusion
Description:
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

Prodramp
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