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:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[Cham]
Springer Nature Switzerland
[2022]
|
| Ausgabe: | Reprint of original edition c Morgan &Claypool 2015 |
| Schriftenreihe: | Synthesis lectures on data management
#40 |
| Schlagwörter: | |
| Links: | https://link.springer.com/book/10.1007/978-3-031-01853-4 https://link.springer.com/book/10.1007/978-3-031-01853-4 |
| 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: | Title from PDF title page (viewed on March 20, 2015) |
| Umfang: | 1 Online-Resource (xx, 178 Seiten) Illustrationen |
| ISBN: | 9783031018534 |
Internformat
MARC
| LEADER | 00000nam a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV048918305 | ||
| 003 | DE-604 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 230501s2022 xx a||| o|||| 00||| eng d | ||
| 020 | |a 9783031018534 |9 978-3-031-01853-4 | ||
| 035 | |a (OCoLC)1378493929 | ||
| 035 | |a (DE-599)BVBBV048918305 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-739 | ||
| 082 | 0 | |a 006.312 |2 23 | |
| 084 | |a ST 530 |0 (DE-625)143679: |2 rvk | ||
| 100 | 1 | |a Dong, Xin Luna |e Verfasser |0 (DE-588)1071341634 |4 aut | |
| 245 | 1 | 0 | |a Big data integration |c Xin Luna Dong, Divesh Srivastava |
| 250 | |a Reprint of original edition c Morgan &Claypool 2015 | ||
| 264 | 1 | |a [Cham] |b Springer Nature Switzerland |c [2022] | |
| 264 | 4 | |c © 2022 | |
| 300 | |a 1 Online-Resource (xx, 178 Seiten) |b Illustrationen | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 1 | |a Synthesis lectures on data management |v #40 | |
| 500 | |a Title from PDF title page (viewed on March 20, 2015) | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Big data | |
| 650 | 4 | |a Data integration (Computer science) | |
| 650 | 0 | 7 | |a Datenintegration |0 (DE-588)4197730-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Big Data |0 (DE-588)4802620-7 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Big Data |0 (DE-588)4802620-7 |D s |
| 689 | 0 | 1 | |a Datenintegration |0 (DE-588)4197730-0 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Srivastava, Divesh |e Verfasser |0 (DE-588)1071341707 |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-3-031-00725-5 |
| 830 | 0 | |a Synthesis lectures on data management |v #40 |w (DE-604)BV036731811 |9 40 | |
| 856 | 4 | 0 | |u https://link.springer.com/book/10.1007/978-3-031-01853-4 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-2-SEB | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034182398 | |
| 966 | e | |u https://link.springer.com/book/10.1007/978-3-031-01853-4 |l DE-739 |p ZDB-2-SEB |q UPA_Einzelkauf_2023 |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1820981406617042944 |
|---|---|
| adam_text | |
| 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 | BV048918305 |
| classification_rvk | ST 530 |
| collection | ZDB-2-SEB |
| ctrlnum | (OCoLC)1378493929 (DE-599)BVBBV048918305 |
| 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 |
| edition | Reprint of original edition c Morgan &Claypool 2015 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zcb4500</leader><controlfield tag="001">BV048918305</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">230501s2022 xx a||| o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783031018534</subfield><subfield code="9">978-3-031-01853-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1378493929</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048918305</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-739</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.312</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 530</subfield><subfield code="0">(DE-625)143679:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Dong, Xin Luna</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1071341634</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Big data integration</subfield><subfield code="c">Xin Luna Dong, Divesh Srivastava</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Reprint of original edition c Morgan &Claypool 2015</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Cham]</subfield><subfield code="b">Springer Nature Switzerland</subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Resource (xx, 178 Seiten)</subfield><subfield code="b">Illustrationen</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Synthesis lectures on data management</subfield><subfield code="v">#40</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Title from PDF title page (viewed on March 20, 2015)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data integration (Computer science)</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenintegration</subfield><subfield code="0">(DE-588)4197730-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Datenintegration</subfield><subfield code="0">(DE-588)4197730-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Srivastava, Divesh</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1071341707</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-3-031-00725-5</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Synthesis lectures on data management</subfield><subfield code="v">#40</subfield><subfield code="w">(DE-604)BV036731811</subfield><subfield code="9">40</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://link.springer.com/book/10.1007/978-3-031-01853-4</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-SEB</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034182398</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://link.springer.com/book/10.1007/978-3-031-01853-4</subfield><subfield code="l">DE-739</subfield><subfield code="p">ZDB-2-SEB</subfield><subfield code="q">UPA_Einzelkauf_2023</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV048918305 |
| illustrated | Illustrated |
| indexdate | 2025-01-11T19:19:58Z |
| institution | BVB |
| isbn | 9783031018534 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034182398 |
| oclc_num | 1378493929 |
| open_access_boolean | |
| owner | DE-739 |
| owner_facet | DE-739 |
| physical | 1 Online-Resource (xx, 178 Seiten) Illustrationen |
| psigel | ZDB-2-SEB ZDB-2-SEB UPA_Einzelkauf_2023 |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Springer Nature Switzerland |
| 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 Reprint of original edition c Morgan &Claypool 2015 [Cham] Springer Nature Switzerland [2022] © 2022 1 Online-Resource (xx, 178 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Synthesis lectures on data management #40 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) Datenintegration (DE-588)4197730-0 gnd rswk-swf Big Data (DE-588)4802620-7 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 978-3-031-00725-5 Synthesis lectures on data management #40 (DE-604)BV036731811 40 https://link.springer.com/book/10.1007/978-3-031-01853-4 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) Datenintegration (DE-588)4197730-0 gnd Big Data (DE-588)4802620-7 gnd |
| subject_GND | (DE-588)4197730-0 (DE-588)4802620-7 |
| 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) Datenintegration (DE-588)4197730-0 gnd Big Data (DE-588)4802620-7 gnd |
| topic_facet | Big data Data integration (Computer science) Datenintegration Big Data |
| url | https://link.springer.com/book/10.1007/978-3-031-01853-4 |
| volume_link | (DE-604)BV036731811 |
| work_keys_str_mv | AT dongxinluna bigdataintegration AT srivastavadivesh bigdataintegration |