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Abstract
This paper presents Personal Data Lake, a single point storage facility for storing, analyzing and querying personal data. A data lake stores data regardless of their formats and thus provides an intuitive way to store personal data fragments of any type. Metadata management is a central part of the lake architecture. For structured/semi-structured data fragments, metadata may contain information about the schema of the data so that the data can be transformed into queryable data objects when required. For unstructured data, enabling gravity pull means allowing third-party plugins so that the unstructured data can be analyzed and queried.