Big Data : Concepts, Warehousing, and Analytics
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| Title: | Big Data : Concepts, Warehousing, and Analytics |
|---|---|
| Description: | Big Data is a concept of major relevance in today's world, sometimes highlighted as a key asset for productivity growth, innovation, and customer relationship, whose popularity has increased considerably during the last years. Areas like smart cities, manufacturing, retail, finance, software development, environment, digital media, among others, can benefit from the collection, storage, processing, and analysis of Big Data, leveraging unprecedented data-driven workflows and considerably improved decision-making processes.The concept of a Big Data Warehouse (BDW) is emerging as either an augmentation or a replacement of the traditional Data Warehouse (DW), a concept that has a long history as one of the most valuable enterprise data assets. Nevertheless, research in Big Data Warehousing is still in its infancy, lacking an integrated and validated approach for designing and implementing both the logical layer (data models, data flows, and interoperability between components) and the physical layer (technological infrastructure) of these complex systems.This book addresses models and methods for designing and implementing Big Data Systems to support mixed and complex decision processes, giving special attention to BDWs as a way of efficiently storing and processing batch or streaming data for structured or semi-structured analytical problems. |
| Authors: | Maribel Yasmina Santos, Carlos Costa |
| Resource Type: | eBook. |
| Subjects: | Data mining, Data warehousing, Big data, Electronic books |
| Categories: | MEDICAL / Hospital Administration & Care, SCIENCE / Energy |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
|---|---|
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| Items | – Name: Title Label: Title Group: Ti Data: Big Data : Concepts, Warehousing, and Analytics – Name: Abstract Label: Description Group: Ab Data: Big Data is a concept of major relevance in today's world, sometimes highlighted as a key asset for productivity growth, innovation, and customer relationship, whose popularity has increased considerably during the last years. Areas like smart cities, manufacturing, retail, finance, software development, environment, digital media, among others, can benefit from the collection, storage, processing, and analysis of Big Data, leveraging unprecedented data-driven workflows and considerably improved decision-making processes.The concept of a Big Data Warehouse (BDW) is emerging as either an augmentation or a replacement of the traditional Data Warehouse (DW), a concept that has a long history as one of the most valuable enterprise data assets. Nevertheless, research in Big Data Warehousing is still in its infancy, lacking an integrated and validated approach for designing and implementing both the logical layer (data models, data flows, and interoperability between components) and the physical layer (technological infrastructure) of these complex systems.This book addresses models and methods for designing and implementing Big Data Systems to support mixed and complex decision processes, giving special attention to BDWs as a way of efficiently storing and processing batch or streaming data for structured or semi-structured analytical problems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Maribel+Yasmina+Santos%22">Maribel Yasmina Santos</searchLink><br /><searchLink fieldCode="AR" term="%22Carlos+Costa%22">Carlos Costa</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Data+warehousing%22">Data warehousing</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+books%22">Electronic books</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Hospital+Administration+%26+Care%22">MEDICAL / Hospital Administration & Care</searchLink><br /><searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Energy%22">SCIENCE / Energy</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 005.7 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Data mining Type: general – SubjectFull: Data warehousing Type: general – SubjectFull: Big data Type: general – SubjectFull: Electronic books Type: general Titles: – TitleFull: Big Data : Concepts, Warehousing, and Analytics Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Maribel Yasmina Santos – PersonEntity: Name: NameFull: Carlos Costa – PersonEntity: Name: NameFull: Maribel Yasmina Santos – PersonEntity: Name: NameFull: Carlos Costa IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2020 – D: 14 M: 06 Type: profile Y: 2020 Identifiers: – Type: isbn-print Value: 9788770221849 – Type: isbn-print Value: 9788770043373 – Type: isbn-electronic Value: 9788770221832 – Type: isbn-electronic Value: 9781000794038 – Type: isbn-electronic Value: 9781000797190 – Type: isbn-electronic Value: 9781003337362 Titles: – TitleFull: Big Data : Concepts, Warehousing, and Analytics Type: main |
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