{"id":7970,"date":"2019-12-15T03:40:24","date_gmt":"2019-12-15T03:40:24","guid":{"rendered":"https:\/\/www.inspirenignite.com\/vtu\/big-data-management-bt-7th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-4\/"},"modified":"2020-06-22T22:49:30","modified_gmt":"2020-06-22T22:49:30","slug":"big-data-management-bt-7th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-4","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/vtu\/big-data-management-bt-7th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-4\/","title":{"rendered":"Big Data Management BT 7th Sem Syllabus for VTU BE 2017 Scheme (Professional Elective-4)"},"content":{"rendered":"<p>Big Data Management detail syllabus for Biotechnology (BT), 2017 scheme is taken from <a href=\"https:\/\/vtu.ac.in\/b-e-scheme-syllabus\/\" target=\"_blank\" rel=\"noopener\">VTU<\/a> official website and presented for VTU students. The course code (17BT754), and for exam duration, Teaching Hr\/week, Practical Hr\/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.<\/p>\n<p>For all other bt 7th sem syllabus for be 2017 scheme vtu you can visit <a href=\"..\/bt-7th-sem-syllabus-for-be-2017-scheme-vtu\">BT 7th Sem syllabus for BE 2017 Scheme VTU Subjects<\/a>. For all other Professional Elective-4 subjects do refer to <a href=\"..\/professional-elective-4-bt-7th-sem-syllabus-for-vtu-be-2017-scheme\">Professional Elective-4<\/a>. The detail syllabus for big data management is as follows.<\/p>\n<h4>Course Objectives:<\/h4>\n<p>This course will enable students to<\/p>\n<ul>\n<li>Learn what big data is, and how it differs from traditional approaches<\/li>\n<li>Learn about the Plan and use the primary tools associated with big data in creating systems to take advantage of big data.<\/li>\n<li>Extract knowledge and intelligence from datasets which exhibit high volume, velocity, and\/or variety.<\/li>\n<li>Plan and execute a project that includes the use of at least one big data dataset.<\/li>\n<li>Discuss the meta issues around big data such as governance, security, privacy, and OAM&amp;P.<\/li>\n<li>Execute analyses oriented to streaming data.<\/li>\n<li>Have a framework with which to understand new advances in the field, and distinguish hype from reality.<\/li>\n<li>Discuss organizational issues related to big data.<\/li>\n<\/ul>\n<h4>Module 1<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<h4>Module 2<\/h4>\n<p>DATA ANALYTICS IN A BIG DATA: Data analytics in a big data, distributed world. R over Hadoop. Issues related to the governance of large data sets, including: security, privacy, integrity, quality, and OA&amp;M. More detailed discussion of the issues of security, privacy, integrity, quality, OA&amp;M, and management of big data, including related technologies. Privacy Policies of selected companies. Discussions of selected applications of big data in a few different industries.<\/p>\n<h4>Module 3<\/h4>\n<p>DATABASE MANAGEMENT: Parallel database management, Distributed databases and distributed query processing, MapReduce and other parallel programming models, Big data: theory and practice, Volume: tractability revisited; parallel scalability; bounded evaluability, techniques for querying big data, by making big data small, Veracity: data quality, the other side of big data; central issues of data quality; dependencies for improving data quality; discovering data quality rules; cleaning distributed data; data repairing; entity resolution.<\/p>\n<h4>Module 4<\/h4>\n<p>For complete syllabus and results, class timetable and more pls <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n<h4>Module 5<\/h4>\n<p>DATA ANALYTICS:<br \/>\nData analytics using clustering, algorithms and frameworks; Categories of clustering algorithms; Data analytics using supervised learning and classification; Multi-class classification; Differences and shared challenges between classification and clustering; Classification based models for clustering; Spatio-temporal data structures for range queries for data mining applications; Intricacies of image feature extraction for content-Based image retrieval.<\/p>\n<h4>Course Outcomes:<\/h4>\n<p>After studying this course, students will be able to:<\/p>\n<ul>\n<li>Understand and discuss what big data is, and how it differs from traditional approaches<\/li>\n<li>Plan and use the primary tools associated with big data in creating systems to take advantage of big data.<\/li>\n<li>Extract knowledge and intelligence from datasets which exhibit high volume, velocity, and\/or variety.<\/li>\n<li>Plan and execute a project that includes the use of at least one big data dataset.<\/li>\n<li>Understand and discuss the meta issues around big data such as governance, security, privacy, and OAM&amp;P.<\/li>\n<li>Understand and be able to execute analyses oriented to streaming data.<\/li>\n<li>Have a framework with which to understand new advances in the field, and distinguish hype from reality.<\/li>\n<li>Understand and discuss organizational issues related to big data.<\/li>\n<\/ul>\n<h4>Reference Books:<\/h4>\n<ol>\n<li>Big Data Management and Processing, Kuan-Ching Li, Hai Jiang, Albert Y. Zomaya, CRC Press, 2017<\/li>\n<li>Large Scale and Big Data: Processing and Management, SherifSakr, Mohamed Gaber, CRC Press, 2016<\/li>\n<\/ol>\n<h4>Text Books:<\/h4>\n<ol>\n<li>Big Data Management, Editors: Garcia Marquez, Fausto Pedro, Lev, Benjamin (Eds.) 2017<\/li>\n<li>Big Data Management, Technologies, and Applications by Naima Kaabouch, Wen-Chen Hu, Publisher: IGI Global, October 2013.<\/li>\n<\/ol>\n<p>For detail syllabus of all other subjects of BE Bt, 2017 regulation do visit <a href=\"..\/category\/biotech+7th-sem\">Biotech 7th Sem syllabus for 2017 Regulation<\/a>.<\/p>\n<p>Dont forget to <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">download iStudy<\/a> for latest syllabus and results, class timetable and more.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Big Data Management detail syllabus for Biotechnology (BT), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17BT754), and for exam duration, Teaching [&hellip;]<\/p>\n","protected":false},"author":2298,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[14],"tags":[],"class_list":["post-7970","post","type-post","status-publish","format-standard","hentry","category-biotech"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/posts\/7970","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/users\/2298"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/comments?post=7970"}],"version-history":[{"count":1,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/posts\/7970\/revisions"}],"predecessor-version":[{"id":14234,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/posts\/7970\/revisions\/14234"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/media?parent=7970"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/categories?post=7970"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/vtu\/wp-json\/wp\/v2\/tags?post=7970"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}