TY  - BOOK
AU  - Laurent, Anne 
AU  - Laurent, Dominique 
AU  - Madera, Cedrine 
TI  - Data lakes
SN  - 9781119720423
U1  - 005.7 
PY  - 2020///
CY  - New Jersey: 
PB  - Wiley Data and Cybersecurity
KW  - Architecture of Data Lakes
KW  -  Metadata in Data Lake Ecosystems
KW  - Master Data and Reference Data in Data Lake Ecosystems
N1  - 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
UR  - https://ieeexplore.ieee.org/servlet/opac?bknumber=9820901
ER  -