Pig design patterns: simplify Hadoop programming to create complex end-to-end enterprise big data solutions with Pig
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK
Packt Pub.
2014
|
| Schriftenreihe: | Community experience distilled
|
| Schlagworte: | |
| Beschreibung: | Online resource; title from cover (Safari, viewed May 7, 2014). - Includes index |
| Beschreibung: | 1 online resource (1 volume) illustrations |
| ISBN: | 9781783285563 1783285567 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV045350712 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 181210s2014 |||| o||u| ||||||eng d | ||
| 020 | |a 9781783285563 |9 978-1-78328-556-3 | ||
| 020 | |a 1783285567 |9 1-78328-556-7 | ||
| 035 | |a (ZDB-4-ITC)ocn880637473 | ||
| 035 | |a (OCoLC)880637473 | ||
| 035 | |a (DE-599)BVBBV045350712 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 082 | 0 | |a 001.6424 | |
| 082 | 0 | |a 001.64 | |
| 100 | 1 | |a Pasupuleti, Pradeep |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Pig design patterns |b simplify Hadoop programming to create complex end-to-end enterprise big data solutions with Pig |c Pradeep Pasupuleti |
| 264 | 1 | |a Birmingham, UK |b Packt Pub. |c 2014 | |
| 300 | |a 1 online resource (1 volume) |b illustrations | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Community experience distilled | |
| 500 | |a Online resource; title from cover (Safari, viewed May 7, 2014). - Includes index | ||
| 505 | 8 | |a Pig makes Hadoop programming simple, intuitive, and fun to work with. It removes the complexity from Map Reduce programming by giving the programmer immense power through its flexibility. What used to be extremely lengthy and intricate code written in other high level languages can now be written in almost one tenth of the size using its easy to understand constructs. Pig has proven to be the easiest way to learn how to program Hadoop clusters, as evidenced by its widespread adoption. This comprehensive guide enables readers to readily use design patterns to simplify the creation of complex da | |
| 630 | 0 | 4 | |a Apache Hadoop |
| 650 | 7 | |a Apache Hadoop |2 fast | |
| 650 | 7 | |a REFERENCE / Questions & Answers |2 bisacsh | |
| 650 | 4 | |a Big data |x Data processing | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Pasupuleti, Pradeep |t Pig Design Patterns |d Birmingham : Packt Publishing, 2014 |z 9781783285556 |
| 912 | |a ZDB-4-ITC | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030737366 | ||
Datensatz im Suchindex
| _version_ | 1804179175565688832 |
|---|---|
| any_adam_object | |
| author | Pasupuleti, Pradeep |
| author_facet | Pasupuleti, Pradeep |
| author_role | aut |
| author_sort | Pasupuleti, Pradeep |
| author_variant | p p pp |
| building | Verbundindex |
| bvnumber | BV045350712 |
| collection | ZDB-4-ITC |
| contents | Pig makes Hadoop programming simple, intuitive, and fun to work with. It removes the complexity from Map Reduce programming by giving the programmer immense power through its flexibility. What used to be extremely lengthy and intricate code written in other high level languages can now be written in almost one tenth of the size using its easy to understand constructs. Pig has proven to be the easiest way to learn how to program Hadoop clusters, as evidenced by its widespread adoption. This comprehensive guide enables readers to readily use design patterns to simplify the creation of complex da |
| ctrlnum | (ZDB-4-ITC)ocn880637473 (OCoLC)880637473 (DE-599)BVBBV045350712 |
| dewey-full | 001.6424 001.64 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 001 - Knowledge |
| dewey-raw | 001.6424 001.64 |
| dewey-search | 001.6424 001.64 |
| dewey-sort | 11.6424 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Allgemeines |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02036nmm a2200397zc 4500</leader><controlfield tag="001">BV045350712</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">181210s2014 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781783285563</subfield><subfield code="9">978-1-78328-556-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1783285567</subfield><subfield code="9">1-78328-556-7</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-4-ITC)ocn880637473</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)880637473</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045350712</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="082" ind1="0" ind2=" "><subfield code="a">001.6424</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">001.64</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Pasupuleti, Pradeep</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Pig design patterns</subfield><subfield code="b">simplify Hadoop programming to create complex end-to-end enterprise big data solutions with Pig</subfield><subfield code="c">Pradeep Pasupuleti</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham, UK</subfield><subfield code="b">Packt Pub.</subfield><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (1 volume)</subfield><subfield code="b">illustrations</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="0" ind2=" "><subfield code="a">Community experience distilled</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Online resource; title from cover (Safari, viewed May 7, 2014). - Includes index</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Pig makes Hadoop programming simple, intuitive, and fun to work with. It removes the complexity from Map Reduce programming by giving the programmer immense power through its flexibility. What used to be extremely lengthy and intricate code written in other high level languages can now be written in almost one tenth of the size using its easy to understand constructs. Pig has proven to be the easiest way to learn how to program Hadoop clusters, as evidenced by its widespread adoption. This comprehensive guide enables readers to readily use design patterns to simplify the creation of complex da</subfield></datafield><datafield tag="630" ind1="0" ind2="4"><subfield code="a">Apache Hadoop</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Apache Hadoop</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">REFERENCE / Questions & Answers</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big data</subfield><subfield code="x">Data processing</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Pasupuleti, Pradeep</subfield><subfield code="t">Pig Design Patterns</subfield><subfield code="d">Birmingham : Packt Publishing, 2014</subfield><subfield code="z">9781783285556</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-ITC</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030737366</subfield></datafield></record></collection> |
| id | DE-604.BV045350712 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:15:41Z |
| institution | BVB |
| isbn | 9781783285563 1783285567 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030737366 |
| oclc_num | 880637473 |
| open_access_boolean | |
| physical | 1 online resource (1 volume) illustrations |
| psigel | ZDB-4-ITC |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Packt Pub. |
| record_format | marc |
| series2 | Community experience distilled |
| spelling | Pasupuleti, Pradeep Verfasser aut Pig design patterns simplify Hadoop programming to create complex end-to-end enterprise big data solutions with Pig Pradeep Pasupuleti Birmingham, UK Packt Pub. 2014 1 online resource (1 volume) illustrations txt rdacontent c rdamedia cr rdacarrier Community experience distilled Online resource; title from cover (Safari, viewed May 7, 2014). - Includes index Pig makes Hadoop programming simple, intuitive, and fun to work with. It removes the complexity from Map Reduce programming by giving the programmer immense power through its flexibility. What used to be extremely lengthy and intricate code written in other high level languages can now be written in almost one tenth of the size using its easy to understand constructs. Pig has proven to be the easiest way to learn how to program Hadoop clusters, as evidenced by its widespread adoption. This comprehensive guide enables readers to readily use design patterns to simplify the creation of complex da Apache Hadoop Apache Hadoop fast REFERENCE / Questions & Answers bisacsh Big data Data processing Erscheint auch als Druck-Ausgabe Pasupuleti, Pradeep Pig Design Patterns Birmingham : Packt Publishing, 2014 9781783285556 |
| spellingShingle | Pasupuleti, Pradeep Pig design patterns simplify Hadoop programming to create complex end-to-end enterprise big data solutions with Pig Pig makes Hadoop programming simple, intuitive, and fun to work with. It removes the complexity from Map Reduce programming by giving the programmer immense power through its flexibility. What used to be extremely lengthy and intricate code written in other high level languages can now be written in almost one tenth of the size using its easy to understand constructs. Pig has proven to be the easiest way to learn how to program Hadoop clusters, as evidenced by its widespread adoption. This comprehensive guide enables readers to readily use design patterns to simplify the creation of complex da Apache Hadoop Apache Hadoop fast REFERENCE / Questions & Answers bisacsh Big data Data processing |
| title | Pig design patterns simplify Hadoop programming to create complex end-to-end enterprise big data solutions with Pig |
| title_auth | Pig design patterns simplify Hadoop programming to create complex end-to-end enterprise big data solutions with Pig |
| title_exact_search | Pig design patterns simplify Hadoop programming to create complex end-to-end enterprise big data solutions with Pig |
| title_full | Pig design patterns simplify Hadoop programming to create complex end-to-end enterprise big data solutions with Pig Pradeep Pasupuleti |
| title_fullStr | Pig design patterns simplify Hadoop programming to create complex end-to-end enterprise big data solutions with Pig Pradeep Pasupuleti |
| title_full_unstemmed | Pig design patterns simplify Hadoop programming to create complex end-to-end enterprise big data solutions with Pig Pradeep Pasupuleti |
| title_short | Pig design patterns |
| title_sort | pig design patterns simplify hadoop programming to create complex end to end enterprise big data solutions with pig |
| title_sub | simplify Hadoop programming to create complex end-to-end enterprise big data solutions with Pig |
| topic | Apache Hadoop Apache Hadoop fast REFERENCE / Questions & Answers bisacsh Big data Data processing |
| topic_facet | Apache Hadoop REFERENCE / Questions & Answers Big data Data processing |
| work_keys_str_mv | AT pasupuletipradeep pigdesignpatternssimplifyhadoopprogrammingtocreatecomplexendtoendenterprisebigdatasolutionswithpig |