Data Lake
ELI5 — The Vibe Check
A data lake is a massive storage dump where you throw every piece of data in its raw format. CSV files, JSON, images, logs, whatever. No structure required upfront. It's like a real lake where everything flows in. The risk? Without governance, it turns into a data swamp where nobody can find anything.
Real Talk
A data lake is a centralized repository that stores raw, unprocessed data at any scale in its native format. Unlike data warehouses, data lakes accept structured, semi-structured, and unstructured data without requiring a predefined schema (schema-on-read). They're typically built on object storage like S3 or ADLS. Data lakes enable data science, ML, and flexible analytics.
When You'll Hear This
"We dump everything into the data lake and figure out the schema when we query it." / "Our data lake became a data swamp because nobody enforced any governance."
Related Terms
Data Lakehouse
A data lakehouse is what you get when a data lake and a data warehouse have a baby.
Data Warehouse
A data warehouse is where all your company's data goes to be analyzed.
ELT
ELT is ETL's modern cousin. Instead of transforming data before loading it, you dump the raw data into your warehouse first, then use the warehouse's beefy...
ETL
ETL stands for Extract, Transform, Load. You extract data from sources, transform it (clean, reshape, calculate), then load it into your warehouse.