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Data lakes /
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 s...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London : Hoboken :
ISTE, Ltd. ; Wiley,
2020.
|
| Colección: | Computer engineering series. Databases and big data set ;
volume 2. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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|---|---|---|---|
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| 003 | OCoLC | ||
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| 035 | |a (OCoLC)1151184484 | ||
| 050 | 4 | |a QA76.9.B45 | |
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| 049 | |a UAMI | ||
| 245 | 0 | 0 | |a Data lakes / |c edited by Anne Laurent, Dominique Laurent, Cédrine Madera. |
| 260 | |a London : |b ISTE, Ltd. ; |a Hoboken : |b Wiley, |c 2020. | ||
| 300 | |a 1 online resource (249 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Computer engineering series, databases and big data set ; |v volume 2 | |
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover -- Half-Title Page -- Dedication -- Title Page -- Copyright Page -- Contents -- Preface -- 1. Introduction to Data Lakes: Definitions and Discussions -- 1.1. Introduction to data lakes -- 1.2. Literature review and discussion -- 1.3. The data lake challenges -- 1.4. Data lakes versus decision-making systems -- 1.5. Urbanization for data lakes -- 1.6. Data lake functionalities -- 1.7. Summary and concluding remarks -- 2. Architecture of Data Lakes -- 2.1. Introduction -- 2.2. State of the art and practice -- 2.2.1. Definition -- 2.2.2. Architecture -- 2.2.3. Metadata | |
| 505 | 8 | |a 2.2.4. Data quality -- 2.2.5. Schema-on-read -- 2.3. System architecture -- 2.3.1. Ingestion layer -- 2.3.2. Storage layer -- 2.3.3. Transformation layer -- 2.3.4. Interaction layer -- 2.4. Use case: the Constance system -- 2.4.1. System overview -- 2.4.2. Ingestion layer -- 2.4.3. Maintenance layer -- 2.4.4. Query layer -- 2.4.5. Data quality control -- 2.4.6. Extensibility and flexibility -- 2.5. Concluding remarks -- 3. Exploiting Software Product Lines and Formal Concept Analysis for the Design of Data Lake Architectures -- 3.1. Our expectations -- 3.2. Modeling data lake functionalities | |
| 505 | 8 | |a 3.3. Building the knowledge base of industrial data lakes -- 3.4. Our formalization approach -- 3.5. Applying our approach -- 3.6. Analysis of our first results -- 3.7. Concluding remarks -- 4. Metadata in Data Lake Ecosystems -- 4.1. Definitions and concepts -- 4.2. Classification of metadata by NISO -- 4.2.1. Metadata schema -- 4.2.2. Knowledge base and catalog -- 4.3. Other categories of metadata -- 4.3.1. Business metadata -- 4.3.2. Navigational integration -- 4.3.3. Operational metadata -- 4.4. Sources of metadata -- 4.5. Metadata classification -- 4.6. Why metadata are needed | |
| 505 | 8 | |a 4.6.1. Selection of information (re)sources -- 4.6.2. Organization of information resources -- 4.6.3. Interoperability and integration -- 4.6.4. Unique digital identification -- 4.6.5. Data archiving and preservation -- 4.7. Business value of metadata -- 4.8. Metadata architecture -- 4.8.1. Architecture scenario 1: point-to-point metadata architecture -- 4.8.2. Architecture scenario 2: hub and spoke metadata architecture -- 4.8.3. Architecture scenario 3: tool of record metadata architecture -- 4.8.4. Architecture scenario 4: hybrid metadata architecture | |
| 505 | 8 | |a 4.8.5. Architecture scenario 5: federated metadata architecture -- 4.9. Metadata management -- 4.10. Metadata and data lakes -- 4.10.1. Application and workload layer -- 4.10.2. Data layer -- 4.10.3. System layer -- 4.10.4. Metadata types -- 4.11. Metadata management in data lakes -- 4.11.1. Metadata directory -- 4.11.2. Metadata storage -- 4.11.3. Metadata discovery -- 4.11.4. Metadata lineage -- 4.11.5. Metadata querying -- 4.11.6. Data source selection -- 4.12. Metadata and master data management -- 4.13. Conclusion -- 5. A Use Case of Data Lake Metadata Management -- 5.1. Context | |
| 500 | |a 5.1.1. Data lake definition | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a 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. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Databases. | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 7 | |a Big data |2 fast | |
| 650 | 7 | |a Databases |2 fast | |
| 700 | 1 | |a Laurent, Anne, |d 1976- | |
| 700 | 1 | |a Laurent, Dominique. | |
| 700 | 1 | |a Madera, Cédrine. | |
| 776 | 0 | 8 | |i Print version: |a Laurent, Anne. |t Data Lakes. |d Newark : John Wiley & Sons, Incorporated, ©2020 |z 9781786305855 |
| 830 | 0 | |a Computer engineering series. |p Databases and big data set ; |v volume 2. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781786305855/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH37732084 | ||
| 938 | |a Askews and Holts Library Services |b ASKH |n AH37348401 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL6173691 | ||
| 938 | |a EBSCOhost |b EBSC |n 2436380 | ||
| 994 | |a 92 |b IZTAP | ||