Metadata
- Author: Monte Carlo Data
- Full Title:: Data Lakes vs. Data Warehouses: The Truth Revealed
- Category:: 🗞️Articles, Lakehouse on GCP
- URL:: https://www.montecarlodata.com/blog-data-lake-vs-data-warehouse/
- Finished date:: 2023-03-30
Highlights
data warehouses typically require more structure and schema, which often forces better data hygiene and results in less complexity when reading and consuming data. (View Highlight)
data lakes are the do-it-yourself version of a data warehouse, allowing data engineering teams to pick and choose the various metadata, storage, and compute technologies they want to use depending on the needs of their systems (View Highlight)
Data lakes are ideal for data teams and data scientists looking to build a more customized platform, often supported by a handful (or more) of data engineers. (View Highlight)
As more use cases emerge and more stakeholders (with differing skill sets!) are involved, it is almost impossible for a single solution to serve all needs (View Highlight)