Getting started with Greenplum for big data analytics :: a hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum /
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham, UK :
Packt Pub.,
2013.
|
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | 1 online resource : illustrations |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9781782177050 1782177051 1782177043 9781782177043 |
Internformat
MARC
LEADER | 00000cam a2200000 a 4500 | ||
---|---|---|---|
001 | ZDB-4-EBA-ocn869836194 | ||
003 | OCoLC | ||
005 | 20241004212047.0 | ||
006 | m o d | ||
007 | cr cnu---unuuu | ||
008 | 140204s2013 enka ob 001 0 eng d | ||
040 | |a UMI |b eng |e pn |c UMI |d N$T |d COO |d DEBBG |d DEBSZ |d OCLCQ |d OCLCF |d OCLCQ |d AGLDB |d ICA |d OCLCQ |d D6H |d VTS |d CEF |d NLE |d UKMGB |d STF |d AU@ |d M8D |d UKAHL |d OCLCO |d OCLCQ |d OCLCO |d OCLCQ |d OCLCL | ||
015 | |a GBB747188 |2 bnb | ||
016 | 7 | |a 018006367 |2 Uk | |
020 | |a 9781782177050 |q (electronic bk.) | ||
020 | |a 1782177051 |q (electronic bk.) | ||
020 | |a 1782177043 | ||
020 | |a 9781782177043 | ||
020 | |z 9781782177043 | ||
035 | |a (OCoLC)869836194 | ||
037 | |a 9781782177050 |b Packt Publishing Pvt. Ltd | ||
050 | 4 | |a QA76.9.D343 | |
072 | 7 | |a COM |x 000000 |2 bisacsh | |
082 | 7 | |a 006.312 |2 23 | |
049 | |a MAIN | ||
100 | 1 | |a Gollapudi, Sunila. | |
245 | 1 | 0 | |a Getting started with Greenplum for big data analytics : |b a hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum / |c Sunila Gollapudi ; foreword by V. Laxmikanth. |
260 | |a Birmingham, UK : |b Packt Pub., |c 2013. | ||
300 | |a 1 online resource : |b illustrations | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
588 | 0 | |a Online resource; title from cover (Safari, viewed January 8, 2013). | |
504 | |a Includes bibliographical references and index. | ||
650 | 0 | |a Data mining. |0 http://id.loc.gov/authorities/subjects/sh97002073 | |
650 | 0 | |a Big data. |0 http://id.loc.gov/authorities/subjects/sh2012003227 | |
650 | 0 | |a R (Computer program language) |0 http://id.loc.gov/authorities/subjects/sh2002004407 | |
650 | 2 | |a Data Mining |0 https://id.nlm.nih.gov/mesh/D057225 | |
650 | 6 | |a Exploration de données (Informatique) | |
650 | 6 | |a Données volumineuses. | |
650 | 6 | |a R (Langage de programmation) | |
650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
650 | 7 | |a Big data |2 fast | |
650 | 7 | |a Data mining |2 fast | |
650 | 7 | |a R (Computer program language) |2 fast | |
758 | |i has work: |a Getting Started with Greenplum for Big Data Analytics (Text) |1 https://id.oclc.org/worldcat/entity/E39PD333TCjQhVtHKmPcdcy7h3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
856 | 4 | 0 | |l FWS01 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=654855 |3 Volltext |
938 | |a Askews and Holts Library Services |b ASKH |n AH26849721 | ||
938 | |a EBSCOhost |b EBSC |n 654855 | ||
994 | |a 92 |b GEBAY | ||
912 | |a ZDB-4-EBA | ||
049 | |a DE-863 |
Datensatz im Suchindex
DE-BY-FWS_katkey | ZDB-4-EBA-ocn869836194 |
---|---|
_version_ | 1816882260071153664 |
adam_text | |
any_adam_object | |
author | Gollapudi, Sunila |
author_facet | Gollapudi, Sunila |
author_role | |
author_sort | Gollapudi, Sunila |
author_variant | s g sg |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | Q - Science |
callnumber-label | QA76 |
callnumber-raw | QA76.9.D343 |
callnumber-search | QA76.9.D343 |
callnumber-sort | QA 276.9 D343 |
callnumber-subject | QA - Mathematics |
collection | ZDB-4-EBA |
ctrlnum | (OCoLC)869836194 |
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 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02542cam a2200565 a 4500</leader><controlfield tag="001">ZDB-4-EBA-ocn869836194</controlfield><controlfield tag="003">OCoLC</controlfield><controlfield tag="005">20241004212047.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr cnu---unuuu</controlfield><controlfield tag="008">140204s2013 enka ob 001 0 eng d</controlfield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">UMI</subfield><subfield code="b">eng</subfield><subfield code="e">pn</subfield><subfield code="c">UMI</subfield><subfield code="d">N$T</subfield><subfield code="d">COO</subfield><subfield code="d">DEBBG</subfield><subfield code="d">DEBSZ</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCF</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">AGLDB</subfield><subfield code="d">ICA</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">D6H</subfield><subfield code="d">VTS</subfield><subfield code="d">CEF</subfield><subfield code="d">NLE</subfield><subfield code="d">UKMGB</subfield><subfield code="d">STF</subfield><subfield code="d">AU@</subfield><subfield code="d">M8D</subfield><subfield code="d">UKAHL</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCL</subfield></datafield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">GBB747188</subfield><subfield code="2">bnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">018006367</subfield><subfield code="2">Uk</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781782177050</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1782177051</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1782177043</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781782177043</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781782177043</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)869836194</subfield></datafield><datafield tag="037" ind1=" " ind2=" "><subfield code="a">9781782177050</subfield><subfield code="b">Packt Publishing Pvt. Ltd</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA76.9.D343</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM</subfield><subfield code="x">000000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">006.312</subfield><subfield code="2">23</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">MAIN</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gollapudi, Sunila.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Getting started with Greenplum for big data analytics :</subfield><subfield code="b">a hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum /</subfield><subfield code="c">Sunila Gollapudi ; foreword by V. Laxmikanth.</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Birmingham, UK :</subfield><subfield code="b">Packt Pub.,</subfield><subfield code="c">2013.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource :</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Online resource; title from cover (Safari, viewed January 8, 2013).</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data mining.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh97002073</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Big data.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh2012003227</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">R (Computer program language)</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh2002004407</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Data Mining</subfield><subfield code="0">https://id.nlm.nih.gov/mesh/D057225</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Exploration de données (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Données volumineuses.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">R (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS</subfield><subfield code="x">General.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Big data</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Data mining</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">R (Computer program language)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="758" ind1=" " ind2=" "><subfield code="i">has work:</subfield><subfield code="a">Getting Started with Greenplum for Big Data Analytics (Text)</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PD333TCjQhVtHKmPcdcy7h3</subfield><subfield code="4">https://id.oclc.org/worldcat/ontology/hasWork</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=654855</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">Askews and Holts Library Services</subfield><subfield code="b">ASKH</subfield><subfield code="n">AH26849721</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">654855</subfield></datafield><datafield tag="994" ind1=" " ind2=" "><subfield code="a">92</subfield><subfield code="b">GEBAY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
id | ZDB-4-EBA-ocn869836194 |
illustrated | Illustrated |
indexdate | 2024-11-27T13:25:47Z |
institution | BVB |
isbn | 9781782177050 1782177051 1782177043 9781782177043 |
language | English |
oclc_num | 869836194 |
open_access_boolean | |
owner | MAIN DE-863 DE-BY-FWS |
owner_facet | MAIN DE-863 DE-BY-FWS |
physical | 1 online resource : illustrations |
psigel | ZDB-4-EBA |
publishDate | 2013 |
publishDateSearch | 2013 |
publishDateSort | 2013 |
publisher | Packt Pub., |
record_format | marc |
spelling | Gollapudi, Sunila. Getting started with Greenplum for big data analytics : a hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum / Sunila Gollapudi ; foreword by V. Laxmikanth. Birmingham, UK : Packt Pub., 2013. 1 online resource : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Online resource; title from cover (Safari, viewed January 8, 2013). Includes bibliographical references and index. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Big data. http://id.loc.gov/authorities/subjects/sh2012003227 R (Computer program language) http://id.loc.gov/authorities/subjects/sh2002004407 Data Mining https://id.nlm.nih.gov/mesh/D057225 Exploration de données (Informatique) Données volumineuses. R (Langage de programmation) COMPUTERS General. bisacsh Big data fast Data mining fast R (Computer program language) fast has work: Getting Started with Greenplum for Big Data Analytics (Text) https://id.oclc.org/worldcat/entity/E39PD333TCjQhVtHKmPcdcy7h3 https://id.oclc.org/worldcat/ontology/hasWork FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=654855 Volltext |
spellingShingle | Gollapudi, Sunila Getting started with Greenplum for big data analytics : a hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum / Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Big data. http://id.loc.gov/authorities/subjects/sh2012003227 R (Computer program language) http://id.loc.gov/authorities/subjects/sh2002004407 Data Mining https://id.nlm.nih.gov/mesh/D057225 Exploration de données (Informatique) Données volumineuses. R (Langage de programmation) COMPUTERS General. bisacsh Big data fast Data mining fast R (Computer program language) fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh97002073 http://id.loc.gov/authorities/subjects/sh2012003227 http://id.loc.gov/authorities/subjects/sh2002004407 https://id.nlm.nih.gov/mesh/D057225 |
title | Getting started with Greenplum for big data analytics : a hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum / |
title_auth | Getting started with Greenplum for big data analytics : a hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum / |
title_exact_search | Getting started with Greenplum for big data analytics : a hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum / |
title_full | Getting started with Greenplum for big data analytics : a hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum / Sunila Gollapudi ; foreword by V. Laxmikanth. |
title_fullStr | Getting started with Greenplum for big data analytics : a hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum / Sunila Gollapudi ; foreword by V. Laxmikanth. |
title_full_unstemmed | Getting started with Greenplum for big data analytics : a hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum / Sunila Gollapudi ; foreword by V. Laxmikanth. |
title_short | Getting started with Greenplum for big data analytics : |
title_sort | getting started with greenplum for big data analytics a hands on guide on how to execute an analytics project from conceptualization to operationalization using greenplum |
title_sub | a hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum / |
topic | Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Big data. http://id.loc.gov/authorities/subjects/sh2012003227 R (Computer program language) http://id.loc.gov/authorities/subjects/sh2002004407 Data Mining https://id.nlm.nih.gov/mesh/D057225 Exploration de données (Informatique) Données volumineuses. R (Langage de programmation) COMPUTERS General. bisacsh Big data fast Data mining fast R (Computer program language) fast |
topic_facet | Data mining. Big data. R (Computer program language) Data Mining Exploration de données (Informatique) Données volumineuses. R (Langage de programmation) COMPUTERS General. Big data Data mining |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=654855 |
work_keys_str_mv | AT gollapudisunila gettingstartedwithgreenplumforbigdataanalyticsahandsonguideonhowtoexecuteananalyticsprojectfromconceptualizationtooperationalizationusinggreenplum |