Raw Zone at Leo Mixon blog

Raw Zone. Data lake zones are structured divisions within a data lake that allow for various modes of data storage and processing. A data lake is a store for all types of data from various sources. The raw zone is the foundation upon which all other data lake zones are built. The raw zone is the original conception of a data lake. Its purpose is to preserve the. It takes the raw data, exactly as it appears in the source and. Using the water based analogy, think of this layer as a reservoir which stores data in it’s natural originating state — unfiltered and unpurified. Also called the gold zone, the refined zone, the lagoon, operationalization zone, is where clean, well structured data is stored in the optimal. The data in its natural form is stored as raw data, and schema and. A landing/raw zone acts as a governed first level entry point for the lake to house a variety of data with high velocity satisfying both batch and stream use cases. This is also the zone where sensitive data must be encrypted, tokenized, or otherwise secured.

This is also the zone where sensitive data must be encrypted, tokenized, or otherwise secured. A data lake is a store for all types of data from various sources. It takes the raw data, exactly as it appears in the source and. The raw zone is the original conception of a data lake. Using the water based analogy, think of this layer as a reservoir which stores data in it’s natural originating state — unfiltered and unpurified. A landing/raw zone acts as a governed first level entry point for the lake to house a variety of data with high velocity satisfying both batch and stream use cases. Also called the gold zone, the refined zone, the lagoon, operationalization zone, is where clean, well structured data is stored in the optimal. The data in its natural form is stored as raw data, and schema and. Its purpose is to preserve the. Data lake zones are structured divisions within a data lake that allow for various modes of data storage and processing.

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Raw Zone The data in its natural form is stored as raw data, and schema and. Data lake zones are structured divisions within a data lake that allow for various modes of data storage and processing. The raw zone is the foundation upon which all other data lake zones are built. It takes the raw data, exactly as it appears in the source and. Its purpose is to preserve the. Using the water based analogy, think of this layer as a reservoir which stores data in it’s natural originating state — unfiltered and unpurified. The data in its natural form is stored as raw data, and schema and. Also called the gold zone, the refined zone, the lagoon, operationalization zone, is where clean, well structured data is stored in the optimal. A data lake is a store for all types of data from various sources. A landing/raw zone acts as a governed first level entry point for the lake to house a variety of data with high velocity satisfying both batch and stream use cases. This is also the zone where sensitive data must be encrypted, tokenized, or otherwise secured. The raw zone is the original conception of a data lake.