Introduction to Apache Spark:
"With its ability to perform fast, in-memory cluster computing, Apache Spark is emerging as a favorite technology for analytics on large datasets. This video workshop from Paco Nathan (host of the Just Enough Math workshop) provides developers with an introduction to Spark and its core APIs. By...
Gespeichert in:
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/-/9781491919729/?ar |
Zusammenfassung: | "With its ability to perform fast, in-memory cluster computing, Apache Spark is emerging as a favorite technology for analytics on large datasets. This video workshop from Paco Nathan (host of the Just Enough Math workshop) provides developers with an introduction to Spark and its core APIs. By working with hands-on technical exercises, you'll get up to speed on how to use Spark for data exploration, analysis, and building big data applications in Python, Java, or Scala."--Resource description page. |
Beschreibung: | Title from title screen (viewed April 3, 2015) |
Umfang: | 1 Online-Ressource (1 streaming video file (3 hr., 49 min., 52 sec.)) digital, sound, color. |
Internformat
MARC
LEADER | 00000cgm a22000002 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-047612991 | ||
003 | DE-627-1 | ||
005 | 20240228115829.0 | ||
006 | m o | | | ||
007 | cr uuu---uuuuu | ||
008 | 191023s2015 xx ||| |o o ||eng c | ||
035 | |a (DE-627-1)047612991 | ||
035 | |a (DE-599)KEP047612991 | ||
035 | |a (ORHE)9781491919729 | ||
035 | |a (DE-627-1)047612991 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
100 | 1 | |a Nathan, Paco |e RednerIn |4 spk | |
245 | 1 | 0 | |a Introduction to Apache Spark |c Paco Nathan |
264 | 1 | |a [Place of publication not identified] |b O'Reilly Media |c 2015 | |
300 | |a 1 Online-Ressource (1 streaming video file (3 hr., 49 min., 52 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 April 3, 2015) | ||
520 | |a "With its ability to perform fast, in-memory cluster computing, Apache Spark is emerging as a favorite technology for analytics on large datasets. This video workshop from Paco Nathan (host of the Just Enough Math workshop) provides developers with an introduction to Spark and its core APIs. By working with hands-on technical exercises, you'll get up to speed on how to use Spark for data exploration, analysis, and building big data applications in Python, Java, or Scala."--Resource description page. | ||
630 | 2 | 0 | |a Spark (Electronic resource : Apache Software Foundation) |
650 | 0 | |a Big data | |
650 | 0 | |a Data mining |x Computer programs | |
650 | 4 | |a Spark (Electronic resource : Apache Software Foundation) |0 (OCoLC)fst01938143 | |
650 | 4 | |a Données volumineuses | |
650 | 4 | |a Exploration de données (Informatique) ; Logiciels | |
650 | 4 | |a Big data |0 (OCoLC)fst01892965 | |
650 | 4 | |a Electronic videos | |
966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781491919729/?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-047612991 |
---|---|
_version_ | 1821494951580532736 |
adam_text | |
any_adam_object | |
author2 | Nathan, Paco |
author2_role | spk |
author2_variant | p n pn |
author_facet | Nathan, Paco |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)047612991 (DE-599)KEP047612991 (ORHE)9781491919729 |
format | Electronic Video |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02051cgm a22004212 4500</leader><controlfield tag="001">ZDB-30-ORH-047612991</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228115829.0</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)047612991</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP047612991</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781491919729</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047612991</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">Nathan, Paco</subfield><subfield code="e">RednerIn</subfield><subfield code="4">spk</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Introduction to Apache Spark</subfield><subfield code="c">Paco Nathan</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 (3 hr., 49 min., 52 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 April 3, 2015)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"With its ability to perform fast, in-memory cluster computing, Apache Spark is emerging as a favorite technology for analytics on large datasets. This video workshop from Paco Nathan (host of the Just Enough Math workshop) provides developers with an introduction to Spark and its core APIs. By working with hands-on technical exercises, you'll get up to speed on how to use Spark for data exploration, analysis, and building big data applications in Python, Java, or Scala."--Resource description page.</subfield></datafield><datafield tag="630" ind1="2" ind2="0"><subfield code="a">Spark (Electronic resource : Apache Software Foundation)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Big data</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data mining</subfield><subfield code="x">Computer programs</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Spark (Electronic resource : Apache Software Foundation)</subfield><subfield code="0">(OCoLC)fst01938143</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Données volumineuses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Exploration de données (Informatique) ; Logiciels</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big data</subfield><subfield code="0">(OCoLC)fst01892965</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electronic videos</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/-/9781491919729/?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-047612991 |
illustrated | Not Illustrated |
indexdate | 2025-01-17T11:22:32Z |
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 (3 hr., 49 min., 52 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 | Nathan, Paco RednerIn spk Introduction to Apache Spark Paco Nathan [Place of publication not identified] O'Reilly Media 2015 1 Online-Ressource (1 streaming video file (3 hr., 49 min., 52 sec.)) digital, sound, color. zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Title from title screen (viewed April 3, 2015) "With its ability to perform fast, in-memory cluster computing, Apache Spark is emerging as a favorite technology for analytics on large datasets. This video workshop from Paco Nathan (host of the Just Enough Math workshop) provides developers with an introduction to Spark and its core APIs. By working with hands-on technical exercises, you'll get up to speed on how to use Spark for data exploration, analysis, and building big data applications in Python, Java, or Scala."--Resource description page. Spark (Electronic resource : Apache Software Foundation) Big data Data mining Computer programs Spark (Electronic resource : Apache Software Foundation) (OCoLC)fst01938143 Données volumineuses Exploration de données (Informatique) ; Logiciels Big data (OCoLC)fst01892965 Electronic videos |
spellingShingle | Introduction to Apache Spark Spark (Electronic resource : Apache Software Foundation) Big data Data mining Computer programs Spark (Electronic resource : Apache Software Foundation) (OCoLC)fst01938143 Données volumineuses Exploration de données (Informatique) ; Logiciels Big data (OCoLC)fst01892965 Electronic videos |
subject_GND | (OCoLC)fst01938143 (OCoLC)fst01892965 |
title | Introduction to Apache Spark |
title_auth | Introduction to Apache Spark |
title_exact_search | Introduction to Apache Spark |
title_full | Introduction to Apache Spark Paco Nathan |
title_fullStr | Introduction to Apache Spark Paco Nathan |
title_full_unstemmed | Introduction to Apache Spark Paco Nathan |
title_short | Introduction to Apache Spark |
title_sort | introduction to apache spark |
topic | Spark (Electronic resource : Apache Software Foundation) Big data Data mining Computer programs Spark (Electronic resource : Apache Software Foundation) (OCoLC)fst01938143 Données volumineuses Exploration de données (Informatique) ; Logiciels Big data (OCoLC)fst01892965 Electronic videos |
topic_facet | Spark (Electronic resource : Apache Software Foundation) Big data Data mining Computer programs Données volumineuses Exploration de données (Informatique) ; Logiciels Electronic videos |
work_keys_str_mv | AT nathanpaco introductiontoapachespark |