Apache Spark 2.0:
"In March 2016 at Strata in San Jose, CA, a standing room only audience of excited developers heard the first public overview of the dramatic changes coming to Apache Spark. Listen and watch as Databrick presenters Michael Armbrust and Tathagata Das run through the breakthrough concepts and tec...
Saved in:
Other Authors: | , |
---|---|
Format: | Electronic Video |
Language: | English |
Published: |
[Place of publication not identified]
O'Reilly Media
2016
|
Subjects: | |
Links: | https://learning.oreilly.com/library/view/-/9781491963982/?ar |
Summary: | "In March 2016 at Strata in San Jose, CA, a standing room only audience of excited developers heard the first public overview of the dramatic changes coming to Apache Spark. Listen and watch as Databrick presenters Michael Armbrust and Tathagata Das run through the breakthrough concepts and technologies driving the Structured Streaming capabilities in Spark 2.0. Get a first-look preview of the break-through changes coming to Structured Streaming in 2.0. Understand the unified input/out API that works with virtually any format (JSON, Parquet, etc.). Learn about Datasets--a new abstraction that eliminates large swaths of unnecessary code. Get how 2.0 simplifies exploration of large data stores and ensures error-free production pipelines. Learn about the Catalyst optimizer and Tungsten--new tools for efficient pipeline analysis. Explore an end-to-end execution pipeline that allows difficult ad-hoc interactive queries and more. Learn about streaming DataFrames and how they unify interactive analysis. See a demo of Structured Streaming and learn why it was developed."--Resource description page. |
Item Description: | Title and publication information from resource description page (Safari, viewed May 24, 2016) |
Physical Description: | 1 online resource (1 streaming video file (1 hr., 11 min., 50 sec.)) digital, sound, color |
Staff View
MARC
LEADER | 00000cgm a22000002c 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-047618221 | ||
003 | DE-627-1 | ||
005 | 20240228120114.0 | ||
006 | m o | | | ||
007 | cr uuu---uuuuu | ||
008 | 191023s2016 xx ||| |o o ||eng c | ||
035 | |a (DE-627-1)047618221 | ||
035 | |a (DE-599)KEP047618221 | ||
035 | |a (ORHE)9781491963982 | ||
035 | |a (DE-627-1)047618221 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
245 | 0 | 0 | |a Apache Spark 2.0 |
264 | 1 | |a [Place of publication not identified] |b O'Reilly Media |c 2016 | |
300 | |a 1 online resource (1 streaming video file (1 hr., 11 min., 50 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 and publication information from resource description page (Safari, viewed May 24, 2016) | ||
520 | |a "In March 2016 at Strata in San Jose, CA, a standing room only audience of excited developers heard the first public overview of the dramatic changes coming to Apache Spark. Listen and watch as Databrick presenters Michael Armbrust and Tathagata Das run through the breakthrough concepts and technologies driving the Structured Streaming capabilities in Spark 2.0. Get a first-look preview of the break-through changes coming to Structured Streaming in 2.0. Understand the unified input/out API that works with virtually any format (JSON, Parquet, etc.). Learn about Datasets--a new abstraction that eliminates large swaths of unnecessary code. Get how 2.0 simplifies exploration of large data stores and ensures error-free production pipelines. Learn about the Catalyst optimizer and Tungsten--new tools for efficient pipeline analysis. Explore an end-to-end execution pipeline that allows difficult ad-hoc interactive queries and more. Learn about streaming DataFrames and how they unify interactive analysis. See a demo of Structured Streaming and learn why it was developed."--Resource description page. | ||
630 | 2 | 0 | |a Spark (Electronic resource : Apache Software Foundation) |
650 | 0 | |a Data mining | |
650 | 2 | |a Data Mining | |
650 | 4 | |a Spark (Electronic resource : Apache Software Foundation) |0 (OCoLC)fst01938143 | |
650 | 4 | |a Exploration de données (Informatique) | |
650 | 4 | |a Data mining |0 (OCoLC)fst00887946 | |
650 | 4 | |a Electronic videos | |
700 | 1 | |a Armbrust, Michael |e MitwirkendeR |4 ctb | |
700 | 1 | |a Das, Tathagata |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/-/9781491963982/?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 |
Record in the Search Index
DE-BY-TUM_katkey | ZDB-30-ORH-047618221 |
---|---|
_version_ | 1833357156781391873 |
adam_text | |
any_adam_object | |
author2 | Armbrust, Michael Das, Tathagata |
author2_role | ctb ctb |
author2_variant | m a ma t d td |
author_facet | Armbrust, Michael Das, Tathagata |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)047618221 (DE-599)KEP047618221 (ORHE)9781491963982 |
format | Electronic Video |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02670cgm a22004212c 4500</leader><controlfield tag="001">ZDB-30-ORH-047618221</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228120114.0</controlfield><controlfield tag="006">m o | | </controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191023s2016 xx ||| |o o ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047618221</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP047618221</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781491963982</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047618221</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="245" ind1="0" ind2="0"><subfield code="a">Apache Spark 2.0</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">2016</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (1 streaming video file (1 hr., 11 min., 50 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 and publication information from resource description page (Safari, viewed May 24, 2016)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"In March 2016 at Strata in San Jose, CA, a standing room only audience of excited developers heard the first public overview of the dramatic changes coming to Apache Spark. Listen and watch as Databrick presenters Michael Armbrust and Tathagata Das run through the breakthrough concepts and technologies driving the Structured Streaming capabilities in Spark 2.0. Get a first-look preview of the break-through changes coming to Structured Streaming in 2.0. Understand the unified input/out API that works with virtually any format (JSON, Parquet, etc.). Learn about Datasets--a new abstraction that eliminates large swaths of unnecessary code. Get how 2.0 simplifies exploration of large data stores and ensures error-free production pipelines. Learn about the Catalyst optimizer and Tungsten--new tools for efficient pipeline analysis. Explore an end-to-end execution pipeline that allows difficult ad-hoc interactive queries and more. Learn about streaming DataFrames and how they unify interactive analysis. See a demo of Structured Streaming and learn why it was developed."--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">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">Spark (Electronic resource : Apache Software Foundation)</subfield><subfield code="0">(OCoLC)fst01938143</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 videos</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Armbrust, Michael</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Das, Tathagata</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/-/9781491963982/?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-047618221 |
illustrated | Not Illustrated |
indexdate | 2025-05-28T09:47:13Z |
institution | BVB |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 online resource (1 streaming video file (1 hr., 11 min., 50 sec.)) digital, sound, color |
psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
publishDate | 2016 |
publishDateSearch | 2016 |
publishDateSort | 2016 |
publisher | O'Reilly Media |
record_format | marc |
spelling | Apache Spark 2.0 [Place of publication not identified] O'Reilly Media 2016 1 online resource (1 streaming video file (1 hr., 11 min., 50 sec.)) digital, sound, color zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Title and publication information from resource description page (Safari, viewed May 24, 2016) "In March 2016 at Strata in San Jose, CA, a standing room only audience of excited developers heard the first public overview of the dramatic changes coming to Apache Spark. Listen and watch as Databrick presenters Michael Armbrust and Tathagata Das run through the breakthrough concepts and technologies driving the Structured Streaming capabilities in Spark 2.0. Get a first-look preview of the break-through changes coming to Structured Streaming in 2.0. Understand the unified input/out API that works with virtually any format (JSON, Parquet, etc.). Learn about Datasets--a new abstraction that eliminates large swaths of unnecessary code. Get how 2.0 simplifies exploration of large data stores and ensures error-free production pipelines. Learn about the Catalyst optimizer and Tungsten--new tools for efficient pipeline analysis. Explore an end-to-end execution pipeline that allows difficult ad-hoc interactive queries and more. Learn about streaming DataFrames and how they unify interactive analysis. See a demo of Structured Streaming and learn why it was developed."--Resource description page. Spark (Electronic resource : Apache Software Foundation) Data mining Data Mining Spark (Electronic resource : Apache Software Foundation) (OCoLC)fst01938143 Exploration de données (Informatique) Data mining (OCoLC)fst00887946 Electronic videos Armbrust, Michael MitwirkendeR ctb Das, Tathagata MitwirkendeR ctb |
spellingShingle | Apache Spark 2.0 Spark (Electronic resource : Apache Software Foundation) Data mining Data Mining Spark (Electronic resource : Apache Software Foundation) (OCoLC)fst01938143 Exploration de données (Informatique) Data mining (OCoLC)fst00887946 Electronic videos |
subject_GND | (OCoLC)fst01938143 (OCoLC)fst00887946 |
title | Apache Spark 2.0 |
title_auth | Apache Spark 2.0 |
title_exact_search | Apache Spark 2.0 |
title_full | Apache Spark 2.0 |
title_fullStr | Apache Spark 2.0 |
title_full_unstemmed | Apache Spark 2.0 |
title_short | Apache Spark 2.0 |
title_sort | apache spark 2 0 |
topic | Spark (Electronic resource : Apache Software Foundation) Data mining Data Mining Spark (Electronic resource : Apache Software Foundation) (OCoLC)fst01938143 Exploration de données (Informatique) Data mining (OCoLC)fst00887946 Electronic videos |
topic_facet | Spark (Electronic resource : Apache Software Foundation) Data mining Data Mining Exploration de données (Informatique) Electronic videos |
work_keys_str_mv | AT armbrustmichael apachespark20 AT dastathagata apachespark20 |