Introduction to Smart City and Agricultural Revolution: Big Data and Internet of Things (IoT)
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data s...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buchkapitel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 673 |
|---|---|
| container_issue | |
| container_start_page | 632 |
| container_title | |
| container_volume | |
| creator | Angadi, Rajesh |
| description | The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject. |
| doi_str_mv | 10.4018/978-1-5225-3142-5.ch022 |
| format | Book Chapter |
| fullrecord | <record><control><sourceid>gale_igi_b</sourceid><recordid>TN_cdi_igi_books_10_4018_978-1-5225-3142-5_ch022</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>CX7460000039</galeid><credo_id>25673684</credo_id><sourcerecordid>CX7460000039</sourcerecordid><originalsourceid>FETCH-LOGICAL-c152t-78998725cd2a7f87231b256a8d512c533d8bdcaaca0f2e44c78c47c4bee5f0663</originalsourceid><addsrcrecordid>eNplkE1LxDAQhiMiqOv-AUHMUQ_VfDapt3X9WlgQdD1KSNO0G60NpOmC_950V_DgXGbmnZmX4QHgHKMrhrC8LoTMcMYJ4RnFjGT8yqwRIXvgGI9i0ijZ_2sIOwTTvv9ACOGC5KhAR-B90cXgq8FE5zsYPXz90iHCuYvfUHcVnDXBmaGNQ9AtfLEb3w7j5g28dQ2801Fvt5KJDZ2N0NdwtXZd08OLhV9dnoCDWre9nf7mCXh7uF_Nn7Ll8-NiPltmJv0WMyGLQgrCTUW0qFNFcUl4rmXFMTGc0kqWldHaaFQTy5gR0jBhWGktr1Ge0wlAO1_XOFV6_9krjNTISP1jpLaM0snp7qTRrVWb0CrBcjQGLdLwbDc0wVZe2cTI2V6lnwTNJaM_TPFpww</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>book_chapter</recordtype></control><display><type>book_chapter</type><title>Introduction to Smart City and Agricultural Revolution: Big Data and Internet of Things (IoT)</title><source>InfoSci-Books</source><creator>Angadi, Rajesh</creator><creatorcontrib>Angadi, Rajesh</creatorcontrib><description>The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.</description><identifier>ISBN: 1522531424</identifier><identifier>ISBN: 9781522531425</identifier><identifier>EISBN: 1522531432</identifier><identifier>EISBN: 9781522531432</identifier><identifier>DOI: 10.4018/978-1-5225-3142-5.ch022</identifier><language>eng</language><publisher>IGI Global</publisher><subject>Computer Science & IT ; Data Mining and Databases ; Handbooks, manuals, etc. | Information ; LCSH: Big data</subject><ispartof>Handbook of Research on Big Data Storage and Visualization Techniques, 2018, p.632-673</ispartof><rights>Copyright © 2018, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.igi-global.com/Images/Covers/9781522531425.png</thumbnail><link.rule.ids>127,146,775,776,780,789,23117,25331,27902</link.rule.ids></links><search><creatorcontrib>Angadi, Rajesh</creatorcontrib><title>Introduction to Smart City and Agricultural Revolution: Big Data and Internet of Things (IoT)</title><title>Handbook of Research on Big Data Storage and Visualization Techniques</title><description>The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.</description><subject>Computer Science & IT</subject><subject>Data Mining and Databases</subject><subject>Handbooks, manuals, etc. | Information</subject><subject>LCSH: Big data</subject><isbn>1522531424</isbn><isbn>9781522531425</isbn><isbn>1522531432</isbn><isbn>9781522531432</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2018</creationdate><recordtype>book_chapter</recordtype><recordid>eNplkE1LxDAQhiMiqOv-AUHMUQ_VfDapt3X9WlgQdD1KSNO0G60NpOmC_950V_DgXGbmnZmX4QHgHKMrhrC8LoTMcMYJ4RnFjGT8yqwRIXvgGI9i0ijZ_2sIOwTTvv9ACOGC5KhAR-B90cXgq8FE5zsYPXz90iHCuYvfUHcVnDXBmaGNQ9AtfLEb3w7j5g28dQ2801Fvt5KJDZ2N0NdwtXZd08OLhV9dnoCDWre9nf7mCXh7uF_Nn7Ll8-NiPltmJv0WMyGLQgrCTUW0qFNFcUl4rmXFMTGc0kqWldHaaFQTy5gR0jBhWGktr1Ge0wlAO1_XOFV6_9krjNTISP1jpLaM0snp7qTRrVWb0CrBcjQGLdLwbDc0wVZe2cTI2V6lnwTNJaM_TPFpww</recordid><startdate>2018</startdate><enddate>2018</enddate><creator>Angadi, Rajesh</creator><general>IGI Global</general><scope>ADONM</scope></search><sort><creationdate>2018</creationdate><title>Introduction to Smart City and Agricultural Revolution: Big Data and Internet of Things (IoT)</title><author>Angadi, Rajesh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c152t-78998725cd2a7f87231b256a8d512c533d8bdcaaca0f2e44c78c47c4bee5f0663</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Computer Science & IT</topic><topic>Data Mining and Databases</topic><topic>Handbooks, manuals, etc. | Information</topic><topic>LCSH: Big data</topic><toplevel>online_resources</toplevel><creatorcontrib>Angadi, Rajesh</creatorcontrib><collection>Credo Reference 500+</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Angadi, Rajesh</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Introduction to Smart City and Agricultural Revolution: Big Data and Internet of Things (IoT)</atitle><btitle>Handbook of Research on Big Data Storage and Visualization Techniques</btitle><date>2018</date><risdate>2018</risdate><spage>632</spage><epage>673</epage><pages>632-673</pages><isbn>1522531424</isbn><isbn>9781522531425</isbn><eisbn>1522531432</eisbn><eisbn>9781522531432</eisbn><abstract>The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.</abstract><pub>IGI Global</pub><doi>10.4018/978-1-5225-3142-5.ch022</doi><tpages>42</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISBN: 1522531424 |
| ispartof | Handbook of Research on Big Data Storage and Visualization Techniques, 2018, p.632-673 |
| issn | |
| language | eng |
| recordid | cdi_igi_books_10_4018_978-1-5225-3142-5_ch022 |
| source | InfoSci-Books |
| subjects | Computer Science & IT Data Mining and Databases Handbooks, manuals, etc. | Information LCSH: Big data |
| title | Introduction to Smart City and Agricultural Revolution: Big Data and Internet of Things (IoT) |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T15%3A34%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_igi_b&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=bookitem&rft.atitle=Introduction%20to%20Smart%20City%20and%20Agricultural%20Revolution:%20Big%20Data%20and%20Internet%20of%20Things%20(IoT)&rft.btitle=Handbook%20of%20Research%20on%20Big%20Data%20Storage%20and%20Visualization%20Techniques&rft.au=Angadi,%20Rajesh&rft.date=2018&rft.spage=632&rft.epage=673&rft.pages=632-673&rft.isbn=1522531424&rft.isbn_list=9781522531425&rft_id=info:doi/10.4018/978-1-5225-3142-5.ch022&rft_dat=%3Cgale_igi_b%3ECX7460000039%3C/gale_igi_b%3E%3Curl%3E%3C/url%3E&rft.eisbn=1522531432&rft.eisbn_list=9781522531432&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_galeid=CX7460000039&rft_credo_id=25673684&rfr_iscdi=true |