Data Lakes

Author(s): Anne Laurent, Dominique Laurent, CГ©drine Madera

Date: Format: pdf Language: English ISBN/ASIN: 1786305852
Pages: OCR: Quality: ISBN13:
Uploader: Upload Date: 4/18/2020 8:35:34 AM

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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