Big Data analytics with R and Hadoop: set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham
Packt Publishing
2013
|
| Subjects: | |
| Online Access: | FAW01 FAW02 FLA01 |
| Item Description: | Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by integrating R and Hadoop. This book is ideal for R developers who are looking for a way to perform big data analytics with Hadoop. This book is also aimed at those who know Hadoop and want to build some intelligent applications over Big data with R packages. It would be helpful if readers have basic knowledge of R. Includes bibliographical references and index Getting ready to use R and Hadoop -- Writing Hadoop MapReduce programs -- Integrating R and Hadoop -- Using Hadoop streaming with R -- Learning data analytics with R and Hadoop -- Understanding big data analysis with machine learning -- Importing and exporting data from various DBs |
| ISBN: | 9781782163299 1782163298 1306166055 9781306166058 178216328X 9781782163282 |
Staff View
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV043777428 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 160920s2013 |||| o||u| ||||||eng d | ||
| 020 | |a 9781782163299 |9 978-1-78216-329-9 | ||
| 020 | |a 1782163298 |9 1-78216-329-8 | ||
| 020 | |a 1306166055 |9 1-306-16605-5 | ||
| 020 | |a 9781306166058 |9 978-1-306-16605-8 | ||
| 020 | |a 178216328X |9 1-78216-328-X | ||
| 020 | |a 9781782163282 |9 978-1-78216-328-2 | ||
| 020 | |a 9781782163282 |9 978-1-78216-328-2 | ||
| 035 | |a (ZDB-4-EBA)ocn864381816 | ||
| 035 | |a (OCoLC)864381816 | ||
| 035 | |a (DE-599)BVBBV043777428 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1046 |a DE-1047 | ||
| 082 | 0 | |a 519.502855133 |2 22 | |
| 100 | 1 | |a Prajapati, Vignesh |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Big Data analytics with R and Hadoop |b set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics |c Vignesh Prajapati |
| 264 | 1 | |a Birmingham |b Packt Publishing |c 2013 | |
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by integrating R and Hadoop. This book is ideal for R developers who are looking for a way to perform big data analytics with Hadoop. This book is also aimed at those who know Hadoop and want to build some intelligent applications over Big data with R packages. It would be helpful if readers have basic knowledge of R. | ||
| 500 | |a Includes bibliographical references and index | ||
| 500 | |a Getting ready to use R and Hadoop -- Writing Hadoop MapReduce programs -- Integrating R and Hadoop -- Using Hadoop streaming with R -- Learning data analytics with R and Hadoop -- Understanding big data analysis with machine learning -- Importing and exporting data from various DBs | ||
| 630 | 0 | 4 | |a Apache Hadoop |
| 650 | 7 | |a Apache Hadoop |2 blmlsh | |
| 650 | 7 | |a Apache Hadoop |2 fast | |
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a Data structures (Computer science) | |
| 650 | 4 | |a R (Computer program language) | |
| 650 | 7 | |a MATHEMATICS / Applied |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS / Probability & Statistics / General |2 bisacsh | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Data structures (Computer science) |2 fast | |
| 650 | 7 | |a Electronic data processing / Distributed processing |2 fast | |
| 650 | 7 | |a R (Computer program language) |2 fast | |
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Electronic data processing |x Distributed processing | |
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a Data structures (Computer science) | |
| 650 | 4 | |a R (Computer program language) | |
| 650 | 0 | 7 | |a Big Data |0 (DE-588)4802620-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Data Mining |0 (DE-588)4428654-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Hadoop |0 (DE-588)1022420135 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Big Data |0 (DE-588)4802620-7 |D s |
| 689 | 0 | 1 | |a Data Mining |0 (DE-588)4428654-5 |D s |
| 689 | 0 | 2 | |a Datenanalyse |0 (DE-588)4123037-1 |D s |
| 689 | 0 | 3 | |a R |g Programm |0 (DE-588)4705956-4 |D s |
| 689 | 0 | 4 | |a Hadoop |0 (DE-588)1022420135 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 912 | |a ZDB-4-EBA | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-029188488 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 966 | e | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=672969 |l FAW01 |p ZDB-4-EBA |q FAW_PDA_EBA |x Aggregator |3 Volltext | |
| 966 | e | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=672969 |l FAW02 |p ZDB-4-EBA |q FAW_PDA_EBA |x Aggregator |3 Volltext | |
| 966 | e | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=672969 |l FLA01 |p ZDB-4-EBA |q FLA_PDA_EBA |x Aggregator |3 Volltext | |
Record in the Search Index
| _version_ | 1804176605013082112 |
|---|---|
| any_adam_object | |
| author | Prajapati, Vignesh |
| author_facet | Prajapati, Vignesh |
| author_role | aut |
| author_sort | Prajapati, Vignesh |
| author_variant | v p vp |
| building | Verbundindex |
| bvnumber | BV043777428 |
| collection | ZDB-4-EBA |
| ctrlnum | (ZDB-4-EBA)ocn864381816 (OCoLC)864381816 (DE-599)BVBBV043777428 |
| dewey-full | 519.502855133 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.502855133 |
| dewey-search | 519.502855133 |
| dewey-sort | 3519.502855133 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03915nmm a2200769zc 4500</leader><controlfield tag="001">BV043777428</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">160920s2013 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781782163299</subfield><subfield code="9">978-1-78216-329-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1782163298</subfield><subfield code="9">1-78216-329-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1306166055</subfield><subfield code="9">1-306-16605-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781306166058</subfield><subfield code="9">978-1-306-16605-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">178216328X</subfield><subfield code="9">1-78216-328-X</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781782163282</subfield><subfield code="9">978-1-78216-328-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781782163282</subfield><subfield code="9">978-1-78216-328-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-4-EBA)ocn864381816</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)864381816</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV043777428</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1046</subfield><subfield code="a">DE-1047</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.502855133</subfield><subfield code="2">22</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Prajapati, Vignesh</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Big Data analytics with R and Hadoop</subfield><subfield code="b">set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics</subfield><subfield code="c">Vignesh Prajapati</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham</subfield><subfield code="b">Packt Publishing</subfield><subfield code="c">2013</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="500" ind1=" " ind2=" "><subfield code="a">Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by integrating R and Hadoop. This book is ideal for R developers who are looking for a way to perform big data analytics with Hadoop. This book is also aimed at those who know Hadoop and want to build some intelligent applications over Big data with R packages. It would be helpful if readers have basic knowledge of R.</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Getting ready to use R and Hadoop -- Writing Hadoop MapReduce programs -- Integrating R and Hadoop -- Using Hadoop streaming with R -- Learning data analytics with R and Hadoop -- Understanding big data analysis with machine learning -- Importing and exporting data from various DBs</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">blmlsh</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="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data structures (Computer science)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">R (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">MATHEMATICS / Applied</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">MATHEMATICS / Probability & Statistics / General</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Data mining</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Data structures (Computer science)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Electronic data processing / Distributed processing</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">R (Computer program language)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Datenverarbeitung</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electronic data processing</subfield><subfield code="x">Distributed processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data structures (Computer science)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">R (Computer program language)</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Data Mining</subfield><subfield code="0">(DE-588)4428654-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Hadoop</subfield><subfield code="0">(DE-588)1022420135</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Data Mining</subfield><subfield code="0">(DE-588)4428654-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Hadoop</subfield><subfield code="0">(DE-588)1022420135</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029188488</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=672969</subfield><subfield code="l">FAW01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FAW_PDA_EBA</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=672969</subfield><subfield code="l">FAW02</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FAW_PDA_EBA</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=672969</subfield><subfield code="l">FLA01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FLA_PDA_EBA</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV043777428 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:34:50Z |
| institution | BVB |
| isbn | 9781782163299 1782163298 1306166055 9781306166058 178216328X 9781782163282 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029188488 |
| oclc_num | 864381816 |
| open_access_boolean | |
| owner | DE-1046 DE-1047 |
| owner_facet | DE-1046 DE-1047 |
| psigel | ZDB-4-EBA ZDB-4-EBA FAW_PDA_EBA ZDB-4-EBA FLA_PDA_EBA |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Packt Publishing |
| record_format | marc |
| spelling | Prajapati, Vignesh Verfasser aut Big Data analytics with R and Hadoop set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics Vignesh Prajapati Birmingham Packt Publishing 2013 txt rdacontent c rdamedia cr rdacarrier Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by integrating R and Hadoop. This book is ideal for R developers who are looking for a way to perform big data analytics with Hadoop. This book is also aimed at those who know Hadoop and want to build some intelligent applications over Big data with R packages. It would be helpful if readers have basic knowledge of R. Includes bibliographical references and index Getting ready to use R and Hadoop -- Writing Hadoop MapReduce programs -- Integrating R and Hadoop -- Using Hadoop streaming with R -- Learning data analytics with R and Hadoop -- Understanding big data analysis with machine learning -- Importing and exporting data from various DBs Apache Hadoop Apache Hadoop blmlsh Apache Hadoop fast Data mining Data structures (Computer science) R (Computer program language) MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Data mining fast Data structures (Computer science) fast Electronic data processing / Distributed processing fast R (Computer program language) fast Datenverarbeitung Electronic data processing Distributed processing Big Data (DE-588)4802620-7 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Hadoop (DE-588)1022420135 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Big Data (DE-588)4802620-7 s Data Mining (DE-588)4428654-5 s Datenanalyse (DE-588)4123037-1 s R Programm (DE-588)4705956-4 s Hadoop (DE-588)1022420135 s 1\p DE-604 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Prajapati, Vignesh Big Data analytics with R and Hadoop set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics Apache Hadoop Apache Hadoop blmlsh Apache Hadoop fast Data mining Data structures (Computer science) R (Computer program language) MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Data mining fast Data structures (Computer science) fast Electronic data processing / Distributed processing fast R (Computer program language) fast Datenverarbeitung Electronic data processing Distributed processing Big Data (DE-588)4802620-7 gnd Data Mining (DE-588)4428654-5 gnd R Programm (DE-588)4705956-4 gnd Hadoop (DE-588)1022420135 gnd Datenanalyse (DE-588)4123037-1 gnd |
| subject_GND | (DE-588)4802620-7 (DE-588)4428654-5 (DE-588)4705956-4 (DE-588)1022420135 (DE-588)4123037-1 |
| title | Big Data analytics with R and Hadoop set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics |
| title_auth | Big Data analytics with R and Hadoop set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics |
| title_exact_search | Big Data analytics with R and Hadoop set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics |
| title_full | Big Data analytics with R and Hadoop set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics Vignesh Prajapati |
| title_fullStr | Big Data analytics with R and Hadoop set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics Vignesh Prajapati |
| title_full_unstemmed | Big Data analytics with R and Hadoop set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics Vignesh Prajapati |
| title_short | Big Data analytics with R and Hadoop |
| title_sort | big data analytics with r and hadoop set up an integrated infrastructure of r and hadoop to turn your data analytics into big data analytics |
| title_sub | set up an integrated infrastructure of R and Hadoop to turn your data analytics into Big Data analytics |
| topic | Apache Hadoop Apache Hadoop blmlsh Apache Hadoop fast Data mining Data structures (Computer science) R (Computer program language) MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Data mining fast Data structures (Computer science) fast Electronic data processing / Distributed processing fast R (Computer program language) fast Datenverarbeitung Electronic data processing Distributed processing Big Data (DE-588)4802620-7 gnd Data Mining (DE-588)4428654-5 gnd R Programm (DE-588)4705956-4 gnd Hadoop (DE-588)1022420135 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | Apache Hadoop Data mining Data structures (Computer science) R (Computer program language) MATHEMATICS / Applied MATHEMATICS / Probability & Statistics / General Electronic data processing / Distributed processing Datenverarbeitung Electronic data processing Distributed processing Big Data Data Mining R Programm Hadoop Datenanalyse |
| work_keys_str_mv | AT prajapativignesh bigdataanalyticswithrandhadoopsetupanintegratedinfrastructureofrandhadooptoturnyourdataanalyticsintobigdataanalytics |