Spark - the definite guide: Big Data processing made simple
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Sebastopol
O'Reilly Media, Incorporated
2018
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| Schlagworte: | |
| Online-Zugang: | FHN01 Ebook Library |
| Beschreibung: | Right Outer Joins |
| Beschreibung: | 1 Online-Ressource (XXVI, 574 Seiten) |
| ISBN: | 9781491912300 1491912308 |
Internformat
MARC
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| 245 | 1 | 0 | |a Spark - the definite guide |b Big Data processing made simple |c Bill Chambers and Matei Zaharia |
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| 505 | 8 | |a Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library. | |
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Datensatz im Suchindex
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| author | Chambers, Bill |
| author_GND | (DE-588)136166016 (DE-588)1069218677 |
| author_facet | Chambers, Bill |
| author_role | aut |
| author_sort | Chambers, Bill |
| author_variant | b c bc |
| building | Verbundindex |
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| contents | Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library. |
| ctrlnum | (OCoLC)1045844249 (DE-599)BVBBV045094964 |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV045094964 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:08:29Z |
| institution | BVB |
| isbn | 9781491912300 1491912308 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030485651 |
| oclc_num | 1045844249 |
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| physical | 1 Online-Ressource (XXVI, 574 Seiten) |
| psigel | ZDB-30-PQE |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | O'Reilly Media, Incorporated |
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| spelling | Chambers, Bill Verfasser (DE-588)136166016 aut Spark - the definite guide Big Data processing made simple Bill Chambers and Matei Zaharia Sebastopol O'Reilly Media, Incorporated 2018 1 Online-Ressource (XXVI, 574 Seiten) txt rdacontent c rdamedia cr rdacarrier Right Outer Joins Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library. Apache Spark (DE-588)1129113116 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf SPARK 2.0 (DE-588)4338029-3 gnd rswk-swf SPARK 2.0 (DE-588)4338029-3 s Big Data (DE-588)4802620-7 s DE-604 Apache Spark (DE-588)1129113116 s Zaharia, Matei Sonstige (DE-588)1069218677 oth Erscheint auch als Chambers, Bill Spark: the Definitive Guide Sebastopol : O'Reilly Media, Incorporated, ©2018 Druck-Ausgabe 978-1-4919-1221-8 http://public.eblib.com/choice/publicfullrecord.aspx?p=5287230 Ebook Library |
| spellingShingle | Chambers, Bill Spark - the definite guide Big Data processing made simple Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library. Apache Spark (DE-588)1129113116 gnd Big Data (DE-588)4802620-7 gnd SPARK 2.0 (DE-588)4338029-3 gnd |
| subject_GND | (DE-588)1129113116 (DE-588)4802620-7 (DE-588)4338029-3 |
| title | Spark - the definite guide Big Data processing made simple |
| title_auth | Spark - the definite guide Big Data processing made simple |
| title_exact_search | Spark - the definite guide Big Data processing made simple |
| title_full | Spark - the definite guide Big Data processing made simple Bill Chambers and Matei Zaharia |
| title_fullStr | Spark - the definite guide Big Data processing made simple Bill Chambers and Matei Zaharia |
| title_full_unstemmed | Spark - the definite guide Big Data processing made simple Bill Chambers and Matei Zaharia |
| title_short | Spark - the definite guide |
| title_sort | spark the definite guide big data processing made simple |
| title_sub | Big Data processing made simple |
| topic | Apache Spark (DE-588)1129113116 gnd Big Data (DE-588)4802620-7 gnd SPARK 2.0 (DE-588)4338029-3 gnd |
| topic_facet | Apache Spark Big Data SPARK 2.0 |
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