Saved in:
| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London Hoboken
ISTE, Ltd. ;
2020
London Hoboken Wiley 2020 |
| Series: | Computer engineering series, databases and big data set
volume 2 |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781786305855/?ar |
| Summary: | 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. |
| Item Description: | 5.1.1. Data lake definition. - Includes bibliographical references and index. - Print version record |
| Physical Description: | 1 Online-Ressource (249 pages) |
| ISBN: | 9781119720430 1119720435 1119720427 9781119720423 |
Staff View
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| id | ZDB-30-ORH-059849487 |
| illustrated | Not Illustrated |
| indexdate | 2025-06-25T12:14:44Z |
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| publishDate | 2020 |
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| publisher | ISTE, Ltd. ; Wiley |
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| series2 | Computer engineering series, databases and big data set |
| spelling | Data lakes edited by Anne Laurent, Dominique Laurent, Cédrine Madera London Hoboken ISTE, Ltd. ; 2020 London Hoboken Wiley 2020 1 Online-Ressource (249 pages) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Computer engineering series, databases and big data set volume 2 5.1.1. Data lake definition. - Includes bibliographical references and index. - Print version record 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. Big data Databases Données volumineuses Laurent, Anne 1976- MitwirkendeR ctb Laurent, Dominique MitwirkendeR ctb Madera, Cédrine MitwirkendeR ctb 9781786305855 Erscheint auch als Druck-Ausgabe 9781786305855 |
| spellingShingle | Data lakes Big data Databases Données volumineuses |
| title | Data lakes |
| title_auth | Data lakes |
| title_exact_search | Data lakes |
| title_full | Data lakes edited by Anne Laurent, Dominique Laurent, Cédrine Madera |
| title_fullStr | Data lakes edited by Anne Laurent, Dominique Laurent, Cédrine Madera |
| title_full_unstemmed | Data lakes edited by Anne Laurent, Dominique Laurent, Cédrine Madera |
| title_short | Data lakes |
| title_sort | data lakes |
| topic | Big data Databases Données volumineuses |
| topic_facet | Big data Databases Données volumineuses |
| work_keys_str_mv | AT laurentanne datalakes AT laurentdominique datalakes AT maderacedrine datalakes |