What is Data Lake?
A Data Lake is a storage architecture that holds large volumes of raw data in its native format until needed, enabling analysis across diverse data types without imposing a rigid schema on ingestion.
Technical Definition: A storage architecture capable of holding large volumes of raw data in its native format until it is needed. Unlike a data warehouse, a data lake imposes no schema on ingestion – structure is applied “on read”. Typical technologies: AWS S3, Azure Data Lake Storage.
Why it matters: Facility data comes in many different formats – time series from sensors, events from BMS, maintenance orders from CMMS, energy consumption from meters. A data lake is the only architecture that can hold all of this without forcing standardisation upfront.
HubMind’s view: A data lake is powerful but dangerous without structure. We ensure your data lake is paired with a proper metadata catalogue so the data remains findable and understandable – not just stored.
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HubMind helps you understand and apply Data Lake in your facility.