{"id":1099,"date":"2023-02-05T10:21:18","date_gmt":"2023-02-05T10:21:18","guid":{"rendered":"https:\/\/www.inspirenignite.com\/ts\/big-data-analytics-syllabus-for-mca-2nd-year-2nd-sem-r20-regulation-jntuh-professional-elective-3\/"},"modified":"2023-02-05T10:21:18","modified_gmt":"2023-02-05T10:21:18","slug":"big-data-analytics-syllabus-for-mca-2nd-year-2nd-sem-r20-regulation-jntuh-professional-elective-3","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/ts\/big-data-analytics-syllabus-for-mca-2nd-year-2nd-sem-r20-regulation-jntuh-professional-elective-3\/","title":{"rendered":"Big Data Analytics syllabus for MCA 2nd Year 2nd Sem R20 regulation JNTUH (Professional Elective-3)"},"content":{"rendered":"<p align=\"justify\">Big Data Analytics detailed syllabus for Master of Computer Applications (MCA), R20 regulation has been taken from the <a href=\"https:\/\/jntuh.ac.in\/syllabus\/\" style=\"color: inherit\" rel=\"nofollow noopener\" target=\"_blank\">JNTUH<\/a> official website and presented for the students affiliated to JNTUH course structure. For Course Code, Subject Names, Theory Lectures, Tutorial, Practical\/Drawing, Credits, and other information do visit full semester subjects post given below. The syllabus PDF files can also be downloaded from the universities official website.<\/p>\n<p align=\"justify\">For all the other MCA 2nd Year 2nd Sem syllabus for R20 regulation JNTUH, visit <a href=\"..\/mca-2nd-year-2nd-sem-syllabus-for-r20-regulation-jntuh\">Master of Computer Applications 2nd Year 2nd Sem R20 Scheme<\/a>. <\/p>\n<p align=\"justify\">For all the (Professional Elective-3) subjects refer to <a href=\"..\/mca-2nd-year-2nd-sem-professional-elective-3-syllabus-for-r20-regulation-jntuh\">Professional Elective-3 Scheme<\/a>. The detail syllabus for big data analytics is as follows.  <\/p>\n<h4>Prerequisites:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" rel=\"nofollow noopener\" target=\"_blank\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" rel=\"nofollow noopener\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.  <\/p>\n<h4>Course Objectives:<\/h4>\n<ul>\n<li>To understand about big data.<\/li>\n<li>To learn the analytics of Big Data.<\/li>\n<li>To Understand the Map Reduce fundamentals.<\/li>\n<\/ul>\n<h4>Course Outcomes:<\/h4>\n<ul>\n<li>Student understands the working of Android OS Practically.<\/li>\n<li>Student will be able to develop Android user interfaces.<\/li>\n<li>Student will be able to develop, deploy and maintain the Android Applications.<\/li>\n<\/ul>\n<h4>Unit -I<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" rel=\"nofollow noopener\" target=\"_blank\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" rel=\"nofollow noopener\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.  <\/p>\n<h4>Unit -II<\/h4>\n<p>  Understanding Analytics and Big Data: Comparing Reporting and Analysis, Types of Analytics; Points to Consider during Analysis; Developing an Analytic Team; Understanding Text Analytics; Analytical Approach and Tools to Analyze Data: Analytical Approaches; History of Analytical Tools; Introducing Popular Analytical Tools; Comparing Various Analytical Tools.<\/p>\n<h4>Unit -III<\/h4>\n<p>  Understanding Map Reduce Fundamentals and HBase: The Map Reduce Framework; Techniques to Optimize MapReduce Jobs; Uses of MapReduce; Role of HBase in Big Data Processing; Storing Data in Hadoop : Introduction of HDFS, Architecture, HDFC Files, File system types, commands, org.apache.hadoop.io package, HDF, HDFS High Availability; Introducing HBase, Architecture, Storing Big Data with HBase , Interacting with the Hadoop Ecosystem; HBase in Operations-Programming with HBase; Installation, Combining HBase and HDFS.<\/p>\n<h4>Unit -IV<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" rel=\"nofollow noopener\" target=\"_blank\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" rel=\"nofollow noopener\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.  <\/p>\n<h4>Unit -V<\/h4>\n<p>  Social Media Analytics and Text Mining: Introducing Social Media; Key elements of Social Media; Text mining; Understanding Text Mining Process; Sentiment Analysis, Performing Social Media Analytics and Opinion Mining on Tweets; Mobile Analytics: Introducing Mobile Analytics; Define Mobile Analytics; Mobile Analytics and Web Analytics; Types of Results from Mobile Analytics; Types of Applications for Mobile Analytics; Introducing Mobile Analytics Tools;<\/p>\n<h4>Text Books:<\/h4>\n<ol>\n<li>Big Data and Analytics, Seema Acharya, Subhasinin Chellappan, Wiley publications.<\/li>\n<li>Big Data, Black BookTM, DreamTech Press, 2015 Edition.<\/li>\n<li>Business Analytics 5e, BY Albright |Winston.<\/li>\n<\/ol>\n<h4>Reference Books:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" rel=\"nofollow noopener\" target=\"_blank\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students&#8217;s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&amp;pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" rel=\"nofollow noopener\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>.<\/p>\n<p align=\"justify\">For detail syllabus of all other subjects of 2nd Year 2nd Sem Master of Computer Applications, visit <a href=\"..\/category\/mca+2nd-year\">MCA 2nd Year 2nd Sem syllabus<\/a> subjects.<\/p>\n<p align=\"justify\">For all MCA results, visit <a href=\"https:\/\/www.inspirenignite.com\/ts\/category\/results\/\">JNTUH MCA all years, and semester results <\/a>from direct links.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Big Data Analytics detailed syllabus for Master of Computer Applications (MCA), R20 regulation has been taken from the JNTUH official website and presented for the students affiliated to JNTUH course [&hellip;]<\/p>\n","protected":false},"author":2344,"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":[35],"tags":[],"class_list":["post-1099","post","type-post","status-publish","format-standard","hentry","category-mca"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/posts\/1099","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/users\/2344"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/comments?post=1099"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/posts\/1099\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/media?parent=1099"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/categories?post=1099"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/ts\/wp-json\/wp\/v2\/tags?post=1099"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}