Architectural considerations for Hadoop applications: using clickstream analytics as an end-to-end example
"Implementing solutions with Apache Hadoop requires understanding notjust Hadoop, but a broad range of related projects in the Hadoopecosystem such as Hive, Pig, Oozie, Sqoop, and Flume. The good news isthat there's an abundance of materials - books, web sites,conferences, etc. - for gaini...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Weitere beteiligte Personen: | , , |
| Format: | Elektronisch Video |
| Sprache: | Englisch |
| Veröffentlicht: |
[Place of publication not identified]
O'Reilly Media
2015
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781491923313/?ar |
| Zusammenfassung: | "Implementing solutions with Apache Hadoop requires understanding notjust Hadoop, but a broad range of related projects in the Hadoopecosystem such as Hive, Pig, Oozie, Sqoop, and Flume. The good news isthat there's an abundance of materials - books, web sites,conferences, etc. - for gaining a deep understanding of Hadoop andthese related projects. The bad news is there's still a scarcity of information on how to integrate these components to implement completesolutions. In this video we'll walk through an end-to-end case studyof a clickstream analytics engine to provide a concrete example of howto architect and implement a complete solution with Hadoop."--Resource description page. |
| Beschreibung: | Title from title screen (viewed May 21, 2015) |
| Umfang: | 1 Online-Ressource (1 streaming video file (2 hr., 31 min., 32 sec.)) digital, sound, color. |
Internformat
MARC
| LEADER | 00000cgm a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-047613351 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228115853.0 | ||
| 006 | m o | | | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 191023s2015 xx ||| |o o ||eng c | ||
| 035 | |a (DE-627-1)047613351 | ||
| 035 | |a (DE-599)KEP047613351 | ||
| 035 | |a (ORHE)9781491923313 | ||
| 035 | |a (DE-627-1)047613351 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 100 | 1 | |a Grover, Mark |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Architectural considerations for Hadoop applications |b using clickstream analytics as an end-to-end example |c with Mark Grover, Ted Malaska, Jonathan Seidman, & Gwen Shapira |
| 246 | 3 | 3 | |a Using clickstream analytics as an end-to-end example |
| 264 | 1 | |a [Place of publication not identified] |b O'Reilly Media |c 2015 | |
| 300 | |a 1 Online-Ressource (1 streaming video file (2 hr., 31 min., 32 sec.)) |b digital, sound, color. | ||
| 336 | |a zweidimensionales bewegtes Bild |b tdi |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Title from title screen (viewed May 21, 2015) | ||
| 520 | |a "Implementing solutions with Apache Hadoop requires understanding notjust Hadoop, but a broad range of related projects in the Hadoopecosystem such as Hive, Pig, Oozie, Sqoop, and Flume. The good news isthat there's an abundance of materials - books, web sites,conferences, etc. - for gaining a deep understanding of Hadoop andthese related projects. The bad news is there's still a scarcity of information on how to integrate these components to implement completesolutions. In this video we'll walk through an end-to-end case studyof a clickstream analytics engine to provide a concrete example of howto architect and implement a complete solution with Hadoop."--Resource description page. | ||
| 630 | 2 | 0 | |a Apache Hadoop |
| 650 | 0 | |a Electronic data processing |x Distributed processing | |
| 650 | 0 | |a File organization (Computer science) | |
| 650 | 0 | |a Data mining | |
| 650 | 2 | |a Data Mining | |
| 650 | 4 | |a Apache Hadoop |0 (OCoLC)fst01911570 | |
| 650 | 4 | |a Traitement réparti | |
| 650 | 4 | |a Fichiers (Informatique) ; Organisation | |
| 650 | 4 | |a Exploration de données (Informatique) | |
| 650 | 4 | |a Data mining |0 (OCoLC)fst00887946 | |
| 650 | 4 | |a Electronic data processing ; Distributed processing |0 (OCoLC)fst00906987 | |
| 650 | 4 | |a File organization (Computer science) |0 (OCoLC)fst00924147 | |
| 700 | 1 | |a Malaska, Ted |e MitwirkendeR |4 ctb | |
| 700 | 1 | |a Seidman, Jonathan |e MitwirkendeR |4 ctb | |
| 700 | 1 | |a Shapira, Gwen |e MitwirkendeR |4 ctb | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781491923313/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 935 | |c vide | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-047613351 |
|---|---|
| _version_ | 1831287165265379328 |
| adam_text | |
| any_adam_object | |
| author | Grover, Mark |
| author2 | Malaska, Ted Seidman, Jonathan Shapira, Gwen |
| author2_role | ctb ctb ctb |
| author2_variant | t m tm j s js g s gs |
| author_facet | Grover, Mark Malaska, Ted Seidman, Jonathan Shapira, Gwen |
| author_role | aut |
| author_sort | Grover, Mark |
| author_variant | m g mg |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)047613351 (DE-599)KEP047613351 (ORHE)9781491923313 |
| format | Electronic Video |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02778cgm a22005172c 4500</leader><controlfield tag="001">ZDB-30-ORH-047613351</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228115853.0</controlfield><controlfield tag="006">m o | | </controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191023s2015 xx ||| |o o ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047613351</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP047613351</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781491923313</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047613351</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">Grover, Mark</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Architectural considerations for Hadoop applications</subfield><subfield code="b">using clickstream analytics as an end-to-end example</subfield><subfield code="c">with Mark Grover, Ted Malaska, Jonathan Seidman, & Gwen Shapira</subfield></datafield><datafield tag="246" ind1="3" ind2="3"><subfield code="a">Using clickstream analytics as an end-to-end example</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Place of publication not identified]</subfield><subfield code="b">O'Reilly Media</subfield><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 streaming video file (2 hr., 31 min., 32 sec.))</subfield><subfield code="b">digital, sound, color.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">zweidimensionales bewegtes Bild</subfield><subfield code="b">tdi</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="500" ind1=" " ind2=" "><subfield code="a">Title from title screen (viewed May 21, 2015)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"Implementing solutions with Apache Hadoop requires understanding notjust Hadoop, but a broad range of related projects in the Hadoopecosystem such as Hive, Pig, Oozie, Sqoop, and Flume. The good news isthat there's an abundance of materials - books, web sites,conferences, etc. - for gaining a deep understanding of Hadoop andthese related projects. The bad news is there's still a scarcity of information on how to integrate these components to implement completesolutions. In this video we'll walk through an end-to-end case studyof a clickstream analytics engine to provide a concrete example of howto architect and implement a complete solution with Hadoop."--Resource description page.</subfield></datafield><datafield tag="630" ind1="2" ind2="0"><subfield code="a">Apache Hadoop</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Electronic data processing</subfield><subfield code="x">Distributed processing</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">File organization (Computer science)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Data Mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Apache Hadoop</subfield><subfield code="0">(OCoLC)fst01911570</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Traitement réparti</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Fichiers (Informatique) ; Organisation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Exploration de données (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield><subfield code="0">(OCoLC)fst00887946</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electronic data processing ; Distributed processing</subfield><subfield code="0">(OCoLC)fst00906987</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">File organization (Computer science)</subfield><subfield code="0">(OCoLC)fst00924147</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Malaska, Ted</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Seidman, Jonathan</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shapira, Gwen</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</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/-/9781491923313/?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="935" ind1=" " ind2=" "><subfield code="c">vide</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-047613351 |
| illustrated | Not Illustrated |
| indexdate | 2025-05-05T13:25:35Z |
| institution | BVB |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (1 streaming video file (2 hr., 31 min., 32 sec.)) digital, sound, color. |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | O'Reilly Media |
| record_format | marc |
| spelling | Grover, Mark VerfasserIn aut Architectural considerations for Hadoop applications using clickstream analytics as an end-to-end example with Mark Grover, Ted Malaska, Jonathan Seidman, & Gwen Shapira Using clickstream analytics as an end-to-end example [Place of publication not identified] O'Reilly Media 2015 1 Online-Ressource (1 streaming video file (2 hr., 31 min., 32 sec.)) digital, sound, color. zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Title from title screen (viewed May 21, 2015) "Implementing solutions with Apache Hadoop requires understanding notjust Hadoop, but a broad range of related projects in the Hadoopecosystem such as Hive, Pig, Oozie, Sqoop, and Flume. The good news isthat there's an abundance of materials - books, web sites,conferences, etc. - for gaining a deep understanding of Hadoop andthese related projects. The bad news is there's still a scarcity of information on how to integrate these components to implement completesolutions. In this video we'll walk through an end-to-end case studyof a clickstream analytics engine to provide a concrete example of howto architect and implement a complete solution with Hadoop."--Resource description page. Apache Hadoop Electronic data processing Distributed processing File organization (Computer science) Data mining Data Mining Apache Hadoop (OCoLC)fst01911570 Traitement réparti Fichiers (Informatique) ; Organisation Exploration de données (Informatique) Data mining (OCoLC)fst00887946 Electronic data processing ; Distributed processing (OCoLC)fst00906987 File organization (Computer science) (OCoLC)fst00924147 Malaska, Ted MitwirkendeR ctb Seidman, Jonathan MitwirkendeR ctb Shapira, Gwen MitwirkendeR ctb |
| spellingShingle | Grover, Mark Architectural considerations for Hadoop applications using clickstream analytics as an end-to-end example Apache Hadoop Electronic data processing Distributed processing File organization (Computer science) Data mining Data Mining Apache Hadoop (OCoLC)fst01911570 Traitement réparti Fichiers (Informatique) ; Organisation Exploration de données (Informatique) Data mining (OCoLC)fst00887946 Electronic data processing ; Distributed processing (OCoLC)fst00906987 File organization (Computer science) (OCoLC)fst00924147 |
| subject_GND | (OCoLC)fst01911570 (OCoLC)fst00887946 (OCoLC)fst00906987 (OCoLC)fst00924147 |
| title | Architectural considerations for Hadoop applications using clickstream analytics as an end-to-end example |
| title_alt | Using clickstream analytics as an end-to-end example |
| title_auth | Architectural considerations for Hadoop applications using clickstream analytics as an end-to-end example |
| title_exact_search | Architectural considerations for Hadoop applications using clickstream analytics as an end-to-end example |
| title_full | Architectural considerations for Hadoop applications using clickstream analytics as an end-to-end example with Mark Grover, Ted Malaska, Jonathan Seidman, & Gwen Shapira |
| title_fullStr | Architectural considerations for Hadoop applications using clickstream analytics as an end-to-end example with Mark Grover, Ted Malaska, Jonathan Seidman, & Gwen Shapira |
| title_full_unstemmed | Architectural considerations for Hadoop applications using clickstream analytics as an end-to-end example with Mark Grover, Ted Malaska, Jonathan Seidman, & Gwen Shapira |
| title_short | Architectural considerations for Hadoop applications |
| title_sort | architectural considerations for hadoop applications using clickstream analytics as an end to end example |
| title_sub | using clickstream analytics as an end-to-end example |
| topic | Apache Hadoop Electronic data processing Distributed processing File organization (Computer science) Data mining Data Mining Apache Hadoop (OCoLC)fst01911570 Traitement réparti Fichiers (Informatique) ; Organisation Exploration de données (Informatique) Data mining (OCoLC)fst00887946 Electronic data processing ; Distributed processing (OCoLC)fst00906987 File organization (Computer science) (OCoLC)fst00924147 |
| topic_facet | Apache Hadoop Electronic data processing Distributed processing File organization (Computer science) Data mining Data Mining Traitement réparti Fichiers (Informatique) ; Organisation Exploration de données (Informatique) Electronic data processing ; Distributed processing |
| work_keys_str_mv | AT grovermark architecturalconsiderationsforhadoopapplicationsusingclickstreamanalyticsasanendtoendexample AT malaskated architecturalconsiderationsforhadoopapplicationsusingclickstreamanalyticsasanendtoendexample AT seidmanjonathan architecturalconsiderationsforhadoopapplicationsusingclickstreamanalyticsasanendtoendexample AT shapiragwen architecturalconsiderationsforhadoopapplicationsusingclickstreamanalyticsasanendtoendexample AT grovermark usingclickstreamanalyticsasanendtoendexample AT malaskated usingclickstreamanalyticsasanendtoendexample AT seidmanjonathan usingclickstreamanalyticsasanendtoendexample AT shapiragwen usingclickstreamanalyticsasanendtoendexample |