Principles of big data: preparing, sharing, and analyzing complex information
"Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Elsevier, Morgan Kaufmann
[2013]
|
| Schlagworte: | |
| Online-Zugang: | FLA01 URL des Erstveröffentlichers |
| Zusammenfassung: | "Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. . Learn general methods for specifying Big Data in a way that is understandable to humans and to computers. . Avoid the pitfalls in Big Data design and analysis. . Understand how to create and use Big Data safely and responsibly with a set of laws, regulations and ethical standards that apply to the acquisition, distribution and integration of Big Data resources"--Provided by publisher |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 online resource (xxvi, 261 pages) |
| ISBN: | 9780124047242 0124047246 |
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Datensatz im Suchindex
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| author | Berman, Jules J. |
| author_facet | Berman, Jules J. |
| author_role | aut |
| author_sort | Berman, Jules J. |
| author_variant | j j b jj jjb |
| building | Verbundindex |
| bvnumber | BV046126106 |
| classification_rvk | ST 265 ST 530 |
| collection | ZDB-33-ESD |
| ctrlnum | (ZDB-33-ESD)ocn846495000 (OCoLC)846495000 (DE-599)BVBBV046126106 |
| dewey-full | 005.74 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.74 |
| dewey-search | 005.74 |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV046126106 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:35:53Z |
| institution | BVB |
| isbn | 9780124047242 0124047246 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031506559 |
| oclc_num | 846495000 |
| open_access_boolean | |
| physical | 1 online resource (xxvi, 261 pages) |
| psigel | ZDB-33-ESD ZDB-33-ESD FLA_PDA_ESD |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Elsevier, Morgan Kaufmann |
| record_format | marc |
| spelling | Berman, Jules J. Verfasser aut Principles of big data preparing, sharing, and analyzing complex information Jules J Berman Amsterdam Elsevier, Morgan Kaufmann [2013] © 2013 1 online resource (xxvi, 261 pages) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index "Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. . Learn general methods for specifying Big Data in a way that is understandable to humans and to computers. . Avoid the pitfalls in Big Data design and analysis. . Understand how to create and use Big Data safely and responsibly with a set of laws, regulations and ethical standards that apply to the acquisition, distribution and integration of Big Data resources"--Provided by publisher COMPUTERS / Database Management / General bisacsh COMPUTERS / Desktop Applications / Databases bisacsh COMPUTERS / System Administration / Storage & Retrieval bisacsh Big data fast Database management fast Big data Database management Datenaufbereitung (DE-588)4148865-9 gnd rswk-swf Datenmanagement (DE-588)4213132-7 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Big Data (DE-588)4802620-7 s Datenmanagement (DE-588)4213132-7 s Datenanalyse (DE-588)4123037-1 s Datenaufbereitung (DE-588)4148865-9 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 0124045766 Erscheint auch als Druck-Ausgabe 9780124045767 http://www.sciencedirect.com/science/book/9780124045767 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Berman, Jules J. Principles of big data preparing, sharing, and analyzing complex information COMPUTERS / Database Management / General bisacsh COMPUTERS / Desktop Applications / Databases bisacsh COMPUTERS / System Administration / Storage & Retrieval bisacsh Big data fast Database management fast Big data Database management Datenaufbereitung (DE-588)4148865-9 gnd Datenmanagement (DE-588)4213132-7 gnd Big Data (DE-588)4802620-7 gnd Datenanalyse (DE-588)4123037-1 gnd |
| subject_GND | (DE-588)4148865-9 (DE-588)4213132-7 (DE-588)4802620-7 (DE-588)4123037-1 |
| title | Principles of big data preparing, sharing, and analyzing complex information |
| title_auth | Principles of big data preparing, sharing, and analyzing complex information |
| title_exact_search | Principles of big data preparing, sharing, and analyzing complex information |
| title_full | Principles of big data preparing, sharing, and analyzing complex information Jules J Berman |
| title_fullStr | Principles of big data preparing, sharing, and analyzing complex information Jules J Berman |
| title_full_unstemmed | Principles of big data preparing, sharing, and analyzing complex information Jules J Berman |
| title_short | Principles of big data |
| title_sort | principles of big data preparing sharing and analyzing complex information |
| title_sub | preparing, sharing, and analyzing complex information |
| topic | COMPUTERS / Database Management / General bisacsh COMPUTERS / Desktop Applications / Databases bisacsh COMPUTERS / System Administration / Storage & Retrieval bisacsh Big data fast Database management fast Big data Database management Datenaufbereitung (DE-588)4148865-9 gnd Datenmanagement (DE-588)4213132-7 gnd Big Data (DE-588)4802620-7 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | COMPUTERS / Database Management / General COMPUTERS / Desktop Applications / Databases COMPUTERS / System Administration / Storage & Retrieval Big data Database management Datenaufbereitung Datenmanagement Big Data Datenanalyse |
| url | http://www.sciencedirect.com/science/book/9780124045767 |
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