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Data Lakes - Anne Laurent

Data Lakes

By: Anne Laurent, Dominique Laurent, Cédrine Madera

eText | 9 April 2020 | Edition Number 1

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The concept of a data lake is less than 10 years old, but they are already hugely implemented within large companies. Their goal is to efficiently deal with ever-growing volumes of heterogeneous data, while also facing various sophisticated user needs. However, defining and building a data lake is still a challenge, as no consensus has been reached so far. Data Lakes presents recent outcomes and trends in the field of data repositories. The main topics discussed are the data-driven architecture of a data lake; the management of metadata supplying key information about the stored data, master data and reference data; the roles of linked data and fog computing in a data lake ecosystem; and how gravity principles apply in the context of data lakes. A variety of case studies are also presented, thus providing the reader with practical examples of data lake management.

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Non-FictionComputing & I.T.Computer ScienceSystems Analysis & DesignEngineering & TechnologyElectronics & Communications EngineeringElectronics Engineering

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