datalakejärjestelmä
A datalakejärjestelmä, or data lake system, is a centralized repository designed to store vast amounts of raw data in its native format. Unlike a data warehouse, which typically stores structured data for specific analytical purposes, a data lake can ingest structured, semi-structured, and unstructured data without prior transformation or schema definition. This flexibility allows organizations to store all types of data, from logs and sensor readings to social media feeds and images, for future analysis.
The primary benefit of a datalakejärjestelmä is its ability to support a wide range of analytical workloads,
However, managing a datalakejärjestelmä requires careful planning and governance. Without proper organization and metadata management, a