Data Lakes
Anne Laurent (editor), Dominique Laurent (editor), Cédrine Madera (editor)
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.
ক্যাটাগোরিগুলো:
খন্ড:
2
সাল:
2020
সংস্করণ:
1
প্রকাশক:
Wiley-ISTE
ভাষা:
english
পৃষ্ঠা:
244
ISBN 10:
1786305852
ISBN 13:
9781786305855
ফাইল:
PDF, 10.15 MB
IPFS:
,
english, 2020