Data Lake vs Data Warehouse

1. Comparision of Data Lake & Data Warehouse

	Data Lake	Data Warehouse
	Stores all the raw data	Specific data for specific use
	Can be petabytes (1 million GBs)	Relative small
	Stores all data structures	Stores mainly structured data
	Cost effective	More costly to update
	Difficult to analyze	Optimized for data analysis
	Requires an up-to-date data catalog
	Used by data scientists	Also used by data analysts and business analysts
	Big data, real time analytics	Ad-hoc, read-only queries

2. Data Catalog for data lakes

- What is the source of this data?

- Where is this data used?

- Who is the owner of the data?

- How often is this data updated?

- Good practice in terms of data governance

- Ensures reproducibility