IBM platform computing solutions for high performance and technical computing workloads:
This IBM® Redbooks® publication is a refresh of IBM Technical Computing Clouds, SG24-8144, Enhance Inbound and Outbound Marketing with a Trusted Single View of the Customer, SG24-8173, and IBM Platform Computing Integration Solutions, SG24-8081, with a focus on High Performance and Technical Computi...
Gespeichert in:
Beteilige Person: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Poughkeepsie, NY
IBM Corporation, International Technical Support Organization
2015
|
Ausgabe: | First edition. |
Schriftenreihe: | IBM redbooks
|
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9780738440750/?ar |
Zusammenfassung: | This IBM® Redbooks® publication is a refresh of IBM Technical Computing Clouds, SG24-8144, Enhance Inbound and Outbound Marketing with a Trusted Single View of the Customer, SG24-8173, and IBM Platform Computing Integration Solutions, SG24-8081, with a focus on High Performance and Technical Computing on IBM Power Systems™. This book describes synergies across the IBM product portfolio by using case scenarios and showing solutions such as IBM Spectrum™ Scale (formerly GPFS™). This book also reflects and documents the IBM Platform Computing Cloud Services as part of IBM Platform Symphony® for analytics workloads and IBM Platform LSF® (with new features, such as a Hadoop connector, a MapReduce accelerator, and dynamic cluster) for job scheduling. Both products are used to help customers schedule and analyze large amounts of data for business productivity and competitive advantages. This book is targeted at technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for delivering cost-effective cloud services and big data solutions on IBM Power Systems to uncover insights among client data so that they can take actions to optimize business results, product development, and scientific discoveries. |
Beschreibung: | Number on resource description page: SG24826400 |
Umfang: | 1 Online-Ressource (1 volume) Illustrationen. |
ISBN: | 0738440752 9780738440750 |
Internformat
MARC
LEADER | 00000cam a22000002c 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-047504900 | ||
003 | DE-627-1 | ||
005 | 20240228115919.0 | ||
007 | cr uuu---uuuuu | ||
008 | 191023s2015 xx |||||o 00| ||eng c | ||
020 | |a 0738440752 |9 0-7384-4075-2 | ||
020 | |a 9780738440750 |9 978-0-7384-4075-0 | ||
020 | |a 9780738440750 |9 978-0-7384-4075-0 | ||
035 | |a (DE-627-1)047504900 | ||
035 | |a (DE-599)KEP047504900 | ||
035 | |a (ORHE)9780738440750 | ||
035 | |a (DE-627-1)047504900 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
100 | 1 | |a Quintero, Dino |e VerfasserIn |4 aut | |
245 | 1 | 0 | |a IBM platform computing solutions for high performance and technical computing workloads |c Dino Quintero [and six others] |
250 | |a First edition. | ||
264 | 1 | |a Poughkeepsie, NY |b IBM Corporation, International Technical Support Organization |c 2015 | |
300 | |a 1 Online-Ressource (1 volume) |b Illustrationen. | ||
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
490 | 0 | |a IBM redbooks | |
500 | |a Number on resource description page: SG24826400 | ||
520 | |a This IBM® Redbooks® publication is a refresh of IBM Technical Computing Clouds, SG24-8144, Enhance Inbound and Outbound Marketing with a Trusted Single View of the Customer, SG24-8173, and IBM Platform Computing Integration Solutions, SG24-8081, with a focus on High Performance and Technical Computing on IBM Power Systems™. This book describes synergies across the IBM product portfolio by using case scenarios and showing solutions such as IBM Spectrum™ Scale (formerly GPFS™). This book also reflects and documents the IBM Platform Computing Cloud Services as part of IBM Platform Symphony® for analytics workloads and IBM Platform LSF® (with new features, such as a Hadoop connector, a MapReduce accelerator, and dynamic cluster) for job scheduling. Both products are used to help customers schedule and analyze large amounts of data for business productivity and competitive advantages. This book is targeted at technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for delivering cost-effective cloud services and big data solutions on IBM Power Systems to uncover insights among client data so that they can take actions to optimize business results, product development, and scientific discoveries. | ||
650 | 0 | |a Cloud computing | |
650 | 0 | |a Computer architecture | |
650 | 0 | |a Big data | |
650 | 0 | |a Computing platforms | |
650 | 4 | |a Infonuagique | |
650 | 4 | |a Ordinateurs ; Architecture | |
650 | 4 | |a Données volumineuses | |
650 | 4 | |a Plateformes (Informatique) | |
650 | 4 | |a Big data | |
650 | 4 | |a Cloud computing | |
650 | 4 | |a Computer architecture | |
650 | 4 | |a Computing platforms | |
710 | 2 | |a International Business Machines Corporation. |b International Technical Support Organization, |e Verlag |4 pbl | |
966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9780738440750/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
912 | |a ZDB-30-ORH | ||
912 | |a ZDB-30-ORH | ||
951 | |a BO | ||
912 | |a ZDB-30-ORH | ||
049 | |a DE-91 |
Datensatz im Suchindex
DE-BY-TUM_katkey | ZDB-30-ORH-047504900 |
---|---|
_version_ | 1831287106761129984 |
adam_text | |
any_adam_object | |
author | Quintero, Dino |
author_facet | Quintero, Dino |
author_role | aut |
author_sort | Quintero, Dino |
author_variant | d q dq |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)047504900 (DE-599)KEP047504900 (ORHE)9780738440750 |
edition | First edition. |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03153cam a22005292c 4500</leader><controlfield tag="001">ZDB-30-ORH-047504900</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228115919.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191023s2015 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0738440752</subfield><subfield code="9">0-7384-4075-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780738440750</subfield><subfield code="9">978-0-7384-4075-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780738440750</subfield><subfield code="9">978-0-7384-4075-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047504900</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP047504900</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9780738440750</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047504900</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Quintero, Dino</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">IBM platform computing solutions for high performance and technical computing workloads</subfield><subfield code="c">Dino Quintero [and six others]</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">First edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Poughkeepsie, NY</subfield><subfield code="b">IBM Corporation, International Technical Support Organization</subfield><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 volume)</subfield><subfield code="b">Illustrationen.</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">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">IBM redbooks</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Number on resource description page: SG24826400</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This IBM® Redbooks® publication is a refresh of IBM Technical Computing Clouds, SG24-8144, Enhance Inbound and Outbound Marketing with a Trusted Single View of the Customer, SG24-8173, and IBM Platform Computing Integration Solutions, SG24-8081, with a focus on High Performance and Technical Computing on IBM Power Systems™. This book describes synergies across the IBM product portfolio by using case scenarios and showing solutions such as IBM Spectrum™ Scale (formerly GPFS™). This book also reflects and documents the IBM Platform Computing Cloud Services as part of IBM Platform Symphony® for analytics workloads and IBM Platform LSF® (with new features, such as a Hadoop connector, a MapReduce accelerator, and dynamic cluster) for job scheduling. Both products are used to help customers schedule and analyze large amounts of data for business productivity and competitive advantages. This book is targeted at technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for delivering cost-effective cloud services and big data solutions on IBM Power Systems to uncover insights among client data so that they can take actions to optimize business results, product development, and scientific discoveries.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Cloud computing</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computer architecture</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Big data</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computing platforms</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Infonuagique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ordinateurs ; Architecture</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Données volumineuses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Plateformes (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cloud computing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer architecture</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computing platforms</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">International Business Machines Corporation.</subfield><subfield code="b">International Technical Support Organization,</subfield><subfield code="e">Verlag</subfield><subfield code="4">pbl</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9780738440750/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
id | ZDB-30-ORH-047504900 |
illustrated | Not Illustrated |
indexdate | 2025-05-05T13:24:39Z |
institution | BVB |
isbn | 0738440752 9780738440750 |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 Online-Ressource (1 volume) Illustrationen. |
psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | IBM Corporation, International Technical Support Organization |
record_format | marc |
series2 | IBM redbooks |
spelling | Quintero, Dino VerfasserIn aut IBM platform computing solutions for high performance and technical computing workloads Dino Quintero [and six others] First edition. Poughkeepsie, NY IBM Corporation, International Technical Support Organization 2015 1 Online-Ressource (1 volume) Illustrationen. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IBM redbooks Number on resource description page: SG24826400 This IBM® Redbooks® publication is a refresh of IBM Technical Computing Clouds, SG24-8144, Enhance Inbound and Outbound Marketing with a Trusted Single View of the Customer, SG24-8173, and IBM Platform Computing Integration Solutions, SG24-8081, with a focus on High Performance and Technical Computing on IBM Power Systems™. This book describes synergies across the IBM product portfolio by using case scenarios and showing solutions such as IBM Spectrum™ Scale (formerly GPFS™). This book also reflects and documents the IBM Platform Computing Cloud Services as part of IBM Platform Symphony® for analytics workloads and IBM Platform LSF® (with new features, such as a Hadoop connector, a MapReduce accelerator, and dynamic cluster) for job scheduling. Both products are used to help customers schedule and analyze large amounts of data for business productivity and competitive advantages. This book is targeted at technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for delivering cost-effective cloud services and big data solutions on IBM Power Systems to uncover insights among client data so that they can take actions to optimize business results, product development, and scientific discoveries. Cloud computing Computer architecture Big data Computing platforms Infonuagique Ordinateurs ; Architecture Données volumineuses Plateformes (Informatique) International Business Machines Corporation. International Technical Support Organization, Verlag pbl |
spellingShingle | Quintero, Dino IBM platform computing solutions for high performance and technical computing workloads Cloud computing Computer architecture Big data Computing platforms Infonuagique Ordinateurs ; Architecture Données volumineuses Plateformes (Informatique) |
title | IBM platform computing solutions for high performance and technical computing workloads |
title_auth | IBM platform computing solutions for high performance and technical computing workloads |
title_exact_search | IBM platform computing solutions for high performance and technical computing workloads |
title_full | IBM platform computing solutions for high performance and technical computing workloads Dino Quintero [and six others] |
title_fullStr | IBM platform computing solutions for high performance and technical computing workloads Dino Quintero [and six others] |
title_full_unstemmed | IBM platform computing solutions for high performance and technical computing workloads Dino Quintero [and six others] |
title_short | IBM platform computing solutions for high performance and technical computing workloads |
title_sort | ibm platform computing solutions for high performance and technical computing workloads |
topic | Cloud computing Computer architecture Big data Computing platforms Infonuagique Ordinateurs ; Architecture Données volumineuses Plateformes (Informatique) |
topic_facet | Cloud computing Computer architecture Big data Computing platforms Infonuagique Ordinateurs ; Architecture Données volumineuses Plateformes (Informatique) |
work_keys_str_mv | AT quinterodino ibmplatformcomputingsolutionsforhighperformanceandtechnicalcomputingworkloads AT internationalbusinessmachinescorporationinternationaltechnicalsupportorganization ibmplatformcomputingsolutionsforhighperformanceandtechnicalcomputingworkloads |