Grasping the fundamentals of big data -- Examining big data types -- Old meets new: distributed computing -- Digging into the big data technology components -- Virtualization and how it supports distributed computing -- Examining the cloud and big data -- Operational databases -- MapReduce fundamentals -- Exploring the world of Hadoop -- The Hadoop foundation and ecosystem -- Appliances and big data warehouses -- Defining big data analytics -- Understanding text analytics and big data -- Customized approaches for analysis of big data -- Integrating data sources -- Dealing with real-time data streams and complex event processing -- Operationalizing big data -- Applying big data within your organization -- Security and governance for big data environments -- The importance of big data to business -- Analyzing data in motion: a real-world view -- Improving business processes with big data analytics: a real-world view -- Ten big data best practices -- Ten great big data resources -- Ten big data do's and don'ts
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Big data and beyond'", "creators": [ { "creatorType": "author", "firstName": "Rasmus", "lastName": "Helles" }, { "creatorType": "author", "firstName": "Klaus Bruhn", "lastName": "Jensen" } ], "abstractNote": "[None]", "publicationTitle": "First Monday", "publisher": "", "place": "", "date": "2013/09/18", "volume": "18", "issue": "10", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "", "url": "http://firstmonday.org/ojs/index.php/fm/article/view/4860", "accessDate": "2015-09-18T12:38:20Z", "PMID": "", "PMCID": "", "ISSN": "13960466", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "attachment", "callNumber": "", "rights": "Authors submitting a paper to First Monday automatically agree to confer a limited license to First Monday if and when the manuscript is accepted for publication. This license allows First Monday to publish a manuscript in a given issue. Authors have a choice of: 1. Dedicating the article to the public domain. This allows anyone to make any use of the article at any time, including commercial use. A good way to do this is to use the Creative Commons Public Domain Dedication Web form; see http://creativecommons.org/license/publicdomain-2?lang=en . 2. Retaining some rights while allowing some use. For example, authors may decide to disallow commercial use without permission. Authors may also decide whether to allow users to make modifications (e.g. translations, adaptations) without permission. A good way to make these choices is to use a Creative Commons license. * Go to http://creativecommons.org/license/ . * Choose and select a license. * What to do next — you can then e–mail the license html code to yourself. Do this, and then forward that e–mail to First Monday’s editors. Put your name in the subject line of the e–mail with your name and article title in the e–mail. Background information about Creative Commons licenses can be found at http://creativecommons.org/about/licenses/ . 3. Retaining full rights, including translation and reproduction rights. Authors may use the statement: © Author 2008 All Rights Reserved. Authors may choose to use their own wording to reserve copyright. If you choose to retain full copyright, please add your copyright statement to the end of the article. Authors submitting a paper to First Monday do so in the understanding that Internet publishing is both an opportunity and challenge. In this environment, authors and publishers do not always have the means to protect against unauthorized copying or editing of copyright–protected works.", "extra": "00006", "tags": [], "collections": [], "relations": {}, "dateAdded": "2015-10-15T13:00:58Z", "dateModified": "2015-10-15T13:01:05Z" } }, { "key": "GUJSSCXJ", "version": 8, "library": { "type": "group", "id": 415720, "name": "Big Data (BD 2015)", "links": { "alternate": { "href": "https://www.zotero.org/groups/big_data_bd_2015", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/415720/items/GUJSSCXJ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/big_data_bd_2015/items/GUJSSCXJ", "type": "text/html" } }, "meta": { "createdByUser": { "id": 202816, "username": "hherbert", "name": "Herbert Hrachovec", "links": { "alternate": { "href": "https://www.zotero.org/hherbert", "type": "text/html" } } }, "creatorSummary": "Bryant and Raja", "parsedDate": "2014-01-29", "numChildren": 0 }, "data": { "key": "GUJSSCXJ", "version": 8, "itemType": "journalArticle", "title": "In the realm of Big Data ...", "creators": [ { "creatorType": "author", "firstName": "Antony", "lastName": "Bryant" }, { "creatorType": "author", "firstName": "Uzma", "lastName": "Raja" } ], "abstractNote": "In 2008, Chris Anderson (2008), at that time the Editor–in–Chief of Wired , proposed that in the age of the petabyte, there was no longer any need for the scientific method, nor for models or theories. Although it might be contended that this was more provocation and journalistic hubris than formal or substantiated claim, the issue was taken up and has gathered momentum ever since. Indeed within a year or so of Anderson’s article, and a series of rejoinders published on the Edge Web site, ‘The Age of Big Data’ was being heralded, and the measure had increased from petabytes to exabytes, zettabytes, and yottabytes. Diebold (2012) usefully distinguishes between Big Data ‘the phenomenon’, ‘the term’, and ‘the discipline’; arguing that the phenomenon ‘continues unabated’, the term is ‘firmly entrenched’, and the discipline is ‘emerging’. In what follows we focus initially on the term and the phenomenon, but our main objective is to argue that it is critical that there is general understanding of the emerging discipline. In particular we aim to justify the assertion that in the age of Big Data the ability to be able to develop abstractions and concepts is at least as important as it was previously; perhaps even more so. Moreover that these skills and techniques need to be understood and available to all of us in an era where we are all analysts and researchers at least to the extent of our use of the internet and its potential for affording search and investigation of online resources. We seek to offer some critical insights into these activities — modeling, conceptualizing, and theorizing — by comparing and contrasting Knowledge Discovery from Data (KDD) with the Grounded Theory Method (GTM). The former a technical orientation, that although predating Big Data, lies at the heart of the emerging tools and techniques. 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Dedicating the article to the public domain. This allows anyone to make any use of the article at any time, including commercial use. A good way to do this is to use the Creative Commons Public Domain Dedication Web form; see http://creativecommons.org/license/publicdomain-2?lang=en . 2. Retaining some rights while allowing some use. For example, authors may decide to disallow commercial use without permission. Authors may also decide whether to allow users to make modifications (e.g. translations, adaptations) without permission. A good way to make these choices is to use a Creative Commons license. * Go to http://creativecommons.org/license/ . * Choose and select a license. * What to do next — you can then e–mail the license html code to yourself. Do this, and then forward that e–mail to First Monday’s editors. Put your name in the subject line of the e–mail with your name and article title in the e–mail. Background information about Creative Commons licenses can be found at http://creativecommons.org/about/licenses/ . 3. Retaining full rights, including translation and reproduction rights. Authors may use the statement: © Author 2008 All Rights Reserved. Authors may choose to use their own wording to reserve copyright. If you choose to retain full copyright, please add your copyright statement to the end of the article. Authors submitting a paper to First Monday do so in the understanding that Internet publishing is both an opportunity and challenge. In this environment, authors and publishers do not always have the means to protect against unauthorized copying or editing of copyright–protected works.", "extra": "00004", "tags": [], "collections": [], "relations": {}, "dateAdded": "2015-10-15T13:00:58Z", "dateModified": "2015-10-15T13:01:04Z" } }, { "key": "3KH6728V", "version": 8, "library": { "type": "group", "id": 415720, "name": "Big Data (BD 2015)", "links": { "alternate": { "href": "https://www.zotero.org/groups/big_data_bd_2015", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/415720/items/3KH6728V", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/big_data_bd_2015/items/3KH6728V", "type": "text/html" } }, "meta": { "createdByUser": { "id": 202816, "username": "hherbert", "name": "Herbert Hrachovec", "links": { "alternate": { "href": "https://www.zotero.org/hherbert", "type": "text/html" } } }, "creatorSummary": "Selisker", "numChildren": 0 }, "data": { "key": "3KH6728V", "version": 8, "itemType": "webpage", "title": "In Defense of Data: Responses to Stephen Marche's \"Literature is not Data\" - The Los Angeles Review of Books", "creators": [ { "creatorType": "author", "firstName": "Scott", "lastName": "Selisker" } ], "abstractNote": "", "websiteTitle": "", "websiteType": "", "date": "", "publisher": "", "place": "", "DOI": "", "citationKey": "", "url": "https://lareviewofbooks.org/essay/in-defense-of-data-responses-to-stephen-marches-literature-is-not-data", "accessDate": "2015-09-19T10:05:12Z", "shortTitle": "", "language": "", "rights": "", "extra": "00000", "tags": [], "collections": [], "relations": {}, "dateAdded": "2015-10-15T13:00:58Z", "dateModified": "2015-10-15T13:01:03Z" } }, { "key": "KP4WVURC", "version": 8, "library": { "type": "group", "id": 415720, "name": "Big Data (BD 2015)", "links": { "alternate": { "href": "https://www.zotero.org/groups/big_data_bd_2015", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/415720/items/KP4WVURC", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/big_data_bd_2015/items/KP4WVURC", "type": "text/html" } }, "meta": { "createdByUser": { "id": 202816, "username": "hherbert", "name": "Herbert Hrachovec", "links": { "alternate": { "href": "https://www.zotero.org/hherbert", "type": "text/html" } } }, "creatorSummary": "Prensky", "parsedDate": "2009", "numChildren": 0 }, "data": { "key": "KP4WVURC", "version": 8, "itemType": "journalArticle", "title": "H. sapiens digital: From digital immigrants and digital natives to digital wisdom", "creators": [ { "creatorType": "author", "firstName": "Marc", "lastName": "Prensky" } ], "abstractNote": "", "publicationTitle": "Innovate: journal of online education", "publisher": "", "place": "", "date": "2009", "volume": "5", "issue": "3", "section": "", "partNumber": "", "partTitle": "", "pages": "1", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "", "url": "http://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1020&context=innovate", "accessDate": "2015-09-18T12:10:02Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "H. sapiens digital", "language": "", "libraryCatalog": "Google Scholar", "callNumber": "", "rights": "", "extra": "00508", "tags": [], "collections": [], "relations": {}, "dateAdded": "2015-10-15T13:00:58Z", "dateModified": "2015-10-15T13:01:02Z" } }, { "key": "BJTWS7WS", "version": 8, "library": { "type": "group", "id": 415720, "name": "Big Data (BD 2015)", "links": { "alternate": { "href": "https://www.zotero.org/groups/big_data_bd_2015", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/415720/items/BJTWS7WS", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/big_data_bd_2015/items/BJTWS7WS", "type": "text/html" } }, "meta": { "createdByUser": { "id": 202816, "username": "hherbert", "name": "Herbert Hrachovec", "links": { "alternate": { "href": "https://www.zotero.org/hherbert", "type": "text/html" } } }, "creatorSummary": "Peacock", "parsedDate": "2014-12-22", "numChildren": 0 }, "data": { "key": "BJTWS7WS", "version": 8, "itemType": "journalArticle", "title": "How web tracking changes user agency in the age of Big Data: The used user", "creators": [ { "creatorType": "author", "firstName": "S. 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Drawing on the experiences made in developing innovative ‘big data’ approaches to social media research, this paper examines some of the repercussions for the scholarly research and publication practices of those researchers who do pursue the path of ‘big data’–centric investigation in their work. As researchers import the tools and methods of highly quantitative, statistical analysis from the ‘hard’ sciences into computational, digital humanities research, must they also subscribe to the language and assumptions underlying such ‘scientificity’? If so, how does this affect the choices made in gathering, processing, analysing, and disseminating the outcomes of digital humanities research? 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This license allows First Monday to publish a manuscript in a given issue. Authors have a choice of: 1. Dedicating the article to the public domain. This allows anyone to make any use of the article at any time, including commercial use. A good way to do this is to use the Creative Commons Public Domain Dedication Web form; see http://creativecommons.org/license/publicdomain-2?lang=en . 2. Retaining some rights while allowing some use. For example, authors may decide to disallow commercial use without permission. Authors may also decide whether to allow users to make modifications (e.g. translations, adaptations) without permission. A good way to make these choices is to use a Creative Commons license. * Go to http://creativecommons.org/license/ . * Choose and select a license. * What to do next — you can then e–mail the license html code to yourself. Do this, and then forward that e–mail to First Monday’s editors. Put your name in the subject line of the e–mail with your name and article title in the e–mail. Background information about Creative Commons licenses can be found at http://creativecommons.org/about/licenses/ . 3. Retaining full rights, including translation and reproduction rights. Authors may use the statement: © Author 2008 All Rights Reserved. Authors may choose to use their own wording to reserve copyright. If you choose to retain full copyright, please add your copyright statement to the end of the article. Authors submitting a paper to First Monday do so in the understanding that Internet publishing is both an opportunity and challenge. 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