Big data integration:
The big data era is upon us: data are being generated, analyzed, and used at an unprecedented scale, and data-driven decision making is sweeping through all aspects of society. Since the value of data explodes when it can be linked and fused with other data, addressing the big data integration (BDI)...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
[San Rafael, California]
Morgan & Claypool Publishers
[2015]
|
Schriftenreihe: | Synthesis lectures on data management
#40 |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | The big data era is upon us: data are being generated, analyzed, and used at an unprecedented scale, and data-driven decision making is sweeping through all aspects of society. Since the value of data explodes when it can be linked and fused with other data, addressing the big data integration (BDI) challenge is critical to realizing the promise of big data. BDI differs from traditional data integration along the dimensions of volume, velocity, variety, and veracity. First, not only can data sources contain a huge volume of data, but also the number of data sources is now in the millions. Second, because of the rate at which newly collected data are made available, many of the data sources are very dynamic, and the number of data sources is also rapidly exploding. Third, data sources are extremely heterogeneous in their structure and content, exhibiting considerable variety even for substantially similar entities. Fourth, the data sources are of widely differing qualities, with significant differences in the coverage, accuracy and timeliness of data provided. This book explores the progress that has been made by the data integration community on the topics of schema alignment, record linkage and data fusion in addressing these novel challenges faced by big data integration. Each of these topics is covered in a systematic way: first starting with a quick tour of the topic in the context of traditional data integration, followed by a detailed, example-driven exposition of recent innovative techniques that have been proposed to address the BDI challenges of volume, velocity, variety, and veracity. Finally, it presents emerging topics and opportunities that are specific to BDI, identifying promising directions for the data integration community |
Beschreibung: | Part of: Synthesis digital library of engineering and computer science Title from PDF title page (viewed on March 20, 2015) |
Beschreibung: | 1 Online-Resource (xx, 178 Seiten) Illustrationen |
ISBN: | 9781627052245 |
DOI: | 10.2200/S00578ED1V01Y201404DTM040 |
Internformat
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Datensatz im Suchindex
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any_adam_object | |
author | Dong, Xin Luna Srivastava, Divesh |
author_GND | (DE-588)1071341634 (DE-588)1071341707 |
author_facet | Dong, Xin Luna Srivastava, Divesh |
author_role | aut aut |
author_sort | Dong, Xin Luna |
author_variant | x l d xl xld d s ds |
building | Verbundindex |
bvnumber | BV046427483 |
collection | ZDB-105-MCS ZDB-105-MCDM |
ctrlnum | (ZDB-105-MCS)7065199 (OCoLC)1141142377 (DE-599)BVBBV046427483 |
dewey-full | 006.312 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.312 |
dewey-search | 006.312 |
dewey-sort | 16.312 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.2200/S00578ED1V01Y201404DTM040 |
format | Electronic eBook |
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id | DE-604.BV046427483 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:44:19Z |
institution | BVB |
isbn | 9781627052245 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031839786 |
oclc_num | 1141142377 |
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physical | 1 Online-Resource (xx, 178 Seiten) Illustrationen |
psigel | ZDB-105-MCS ZDB-105-MCDM |
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publisher | Morgan & Claypool Publishers |
record_format | marc |
series | Synthesis lectures on data management |
series2 | Synthesis lectures on data management |
spelling | Dong, Xin Luna Verfasser (DE-588)1071341634 aut Big data integration Xin Luna Dong, Divesh Srivastava [San Rafael, California] Morgan & Claypool Publishers [2015] © 2015 1 Online-Resource (xx, 178 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Synthesis lectures on data management #40 Part of: Synthesis digital library of engineering and computer science Title from PDF title page (viewed on March 20, 2015) The big data era is upon us: data are being generated, analyzed, and used at an unprecedented scale, and data-driven decision making is sweeping through all aspects of society. Since the value of data explodes when it can be linked and fused with other data, addressing the big data integration (BDI) challenge is critical to realizing the promise of big data. BDI differs from traditional data integration along the dimensions of volume, velocity, variety, and veracity. First, not only can data sources contain a huge volume of data, but also the number of data sources is now in the millions. Second, because of the rate at which newly collected data are made available, many of the data sources are very dynamic, and the number of data sources is also rapidly exploding. Third, data sources are extremely heterogeneous in their structure and content, exhibiting considerable variety even for substantially similar entities. Fourth, the data sources are of widely differing qualities, with significant differences in the coverage, accuracy and timeliness of data provided. This book explores the progress that has been made by the data integration community on the topics of schema alignment, record linkage and data fusion in addressing these novel challenges faced by big data integration. Each of these topics is covered in a systematic way: first starting with a quick tour of the topic in the context of traditional data integration, followed by a detailed, example-driven exposition of recent innovative techniques that have been proposed to address the BDI challenges of volume, velocity, variety, and veracity. Finally, it presents emerging topics and opportunities that are specific to BDI, identifying promising directions for the data integration community Big data Data integration (Computer science) Big Data (DE-588)4802620-7 gnd rswk-swf Datenintegration (DE-588)4197730-0 gnd rswk-swf Big Data (DE-588)4802620-7 s Datenintegration (DE-588)4197730-0 s DE-604 Srivastava, Divesh Verfasser (DE-588)1071341707 aut Erscheint auch als Druck-Ausgabe 978-1-62705-223-8 Synthesis lectures on data management #40 (DE-604)BV036731811 40 https://doi.org/10.2200/S00578ED1V01Y201404DTM040 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Dong, Xin Luna Srivastava, Divesh Big data integration Synthesis lectures on data management Big data Data integration (Computer science) Big Data (DE-588)4802620-7 gnd Datenintegration (DE-588)4197730-0 gnd |
subject_GND | (DE-588)4802620-7 (DE-588)4197730-0 |
title | Big data integration |
title_auth | Big data integration |
title_exact_search | Big data integration |
title_full | Big data integration Xin Luna Dong, Divesh Srivastava |
title_fullStr | Big data integration Xin Luna Dong, Divesh Srivastava |
title_full_unstemmed | Big data integration Xin Luna Dong, Divesh Srivastava |
title_short | Big data integration |
title_sort | big data integration |
topic | Big data Data integration (Computer science) Big Data (DE-588)4802620-7 gnd Datenintegration (DE-588)4197730-0 gnd |
topic_facet | Big data Data integration (Computer science) Big Data Datenintegration |
url | https://doi.org/10.2200/S00578ED1V01Y201404DTM040 |
volume_link | (DE-604)BV036731811 |
work_keys_str_mv | AT dongxinluna bigdataintegration AT srivastavadivesh bigdataintegration |