What is Data Lake?
Data Lake — A centralized repository that allows you to store all your structured and unstructured data at any scale.
A data lake stores raw data in its native format until it is needed. Unlike data warehouses which require structure upfront, data lakes accept structured, semi-structured, and unstructured data. This flexibility makes them ideal staging grounds for AI training data.
Frequently Asked Questions
How is a data lake different from a data warehouse?
Data warehouses store cleaned, structured data for reporting. Data lakes store raw data in any format for flexible future use, including AI training.
Can a data lake become a data swamp?
Yes. Without proper cataloging, governance, and metadata management, data lakes become unusable collections of undocumented data. Governance is essential from day one.
What tools power data lakes?
AWS S3, Azure Data Lake Storage, Google Cloud Storage, and Databricks Delta Lake are the most popular. Each provides different levels of management and analytics capabilities.