{"id":7823,"date":"2024-04-04T11:21:27","date_gmt":"2024-04-04T11:21:27","guid":{"rendered":"https:\/\/www.inspirenignite.com\/kl\/6272c-bigdata-analytics-syllabus-for-cloud-computing-big-data-6th-sem-2021-revision-sitttr-open-elective-i\/"},"modified":"2024-04-04T11:21:27","modified_gmt":"2024-04-04T11:21:27","slug":"6272c-bigdata-analytics-syllabus-for-cloud-computing-big-data-6th-sem-2021-revision-sitttr-open-elective-i","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/kl\/6272c-bigdata-analytics-syllabus-for-cloud-computing-big-data-6th-sem-2021-revision-sitttr-open-elective-i\/","title":{"rendered":"6272C: Bigdata Analytics Syllabus for Cloud Computing & Big Data 6th Sem 2021 Revision SITTTR (Open Elective-I)"},"content":{"rendered":"

Bigdata Analytics detailed syllabus for Cloud Computing & Big Data (CC) for 2021 revision curriculum has been taken from the SITTTRs<\/a> official website and presented for the Cloud Computing & Big Data (CC) students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below. <\/p>\n

For Cloud Computing & Big Data 6th Sem scheme and its subjects, do visit Cloud Computing & Big Data (CC) 6th Sem 2021 regulation scheme<\/a>. For Open Elective-I scheme and its subjects refer to Cloud Computing & Big Data (CC) Open Elective-I syllabus scheme<\/a>. The detailed syllabus of bigdata analytics is as follows. <\/p>\n

Course Objectives:<\/h4>\n

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
\"Get<\/a>. <\/p>\n

Course Outcomes:<\/h4>\n

On completion of the course, the student will be able to:<\/p>\n

    \n
  1. Describe the concepts of Big Data<\/li>\n
  2. Summarize the basic concepts in Big Data Analytics and NoSQL<\/li>\n
  3. Demonstrate Map Reduce programming in Hadoop Environment<\/li>\n
  4. Use the basic programming tools like Hive and Pig in Hadoop ecosystems<\/li>\n<\/ol>\n

    Module 1:<\/h4>\n

    Introduction to Bigdata : Data -Big data -Examples of Big data Characteristics of Big Data- Volume, Variety, Velocity, and other characteristics. Classification \/Types of f Digital Data: Structured, Unstructured and- Semi Structured Big Data Analytics : Definition of Big Data analytics , Requirement of high performance analytics -Challenges with Big Data-Big data analytics used today-Benefits of Big Data analytics Applications of Big Data Analytics: Health care, Education-commerce-Media and entertainment-Finance-Travel industry-Telecom-Automobile Data Warehouse: Definition, Coexistence of Big Data and Data Warehouse. Data Mining- Introduction, Data Mining Goals, Types of data, Steps to discover knowledge from data(Stages of the Data Mining Process), Data Mining Techniques, Knowledge Representation Methods Data Preprocessing -Need of data preprocessing, data quality, data preprocessing methods- data cleaning, data integration, data reduction, data transformation Data Visualization: Definition, Need for Visualization, List some tools used for Visualization\n<\/p>\n

    Module 2:<\/h4>\n

    For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
    It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
    \"Get<\/a>. <\/p>\n

    Module 4:<\/h4>\n

    INTRODUCTION TO HIVE AND PIG Hive: Introduction – Architecture – Data Types – File Formats – Hive Query Language Statements – Partitions – Bucketing – Views – Sub- Query – Joins – Aggregations. Hive User Defined Function – Serialization and Deserialization (SERDE). Pig: Introduction – Anatomy – Features – Use Case for Pig – Pig Latin Overview – Pig Primitive Data Types – Running Pig – Execution Modes of Pig – HDFS Commands -User-Defined Functions. Pig Versus Hive\n<\/p>\n

    Text Books:<\/h4>\n

    For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
    It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
    \"Get<\/a>. <\/p>\n

      \n
    1. Seema Acharya, Subhasini Chellappan, “Big Data Analytics”, Wiley, 2015<\/li>\n<\/ol>\n

      Reference Books:<\/h4>\n
        \n
      1. Jiawei Han,Champaign Micheline Kamber ,Jian Pei Simon Fraser ‘”Data Mining Concepts and Techniques Third Edition”<\/li>\n
      2. Frank J Ohlhorst, \u00e2\u20ac\u2022Big Data and Analytics: Turning Big Data into Big Money, Wiley and SAS Business Series, 2012.<\/li>\n
      3. Tom White, \u00e2\u20ac\u2022 Hadoop: The Definitive Guide Third Edition, O’reily Media, 2012<\/li>\n
      4. EMC Education Services, Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data. John Wiley & Sons, 2015. Publishers – 2012.<\/li>\n
      5. Michael Minelli, Michele Chambers, Ambiga Dhiraj, “Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends”, John Wiley & Sons, 2013.<\/li>\n<\/ol>\n

        Online Resources<\/h4>\n

        For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
        It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
        \"Get<\/a>. <\/p>\n

        For detailed syllabus of all other subjects of Cloud Computing & Big Data, 2021 revision curriculum do visit Cloud Computing & Big Data (CC) 6th Sem subject syllabuses for 2021 revision<\/a>. <\/p>\n

        To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus.<\/a>. <\/p>\n

        To see the results of Cloud Computing & Big Data of diploma 2021 revision curriculum do visit SITTTR diploma results.<\/a>. <\/p>\n

        For all Cloud Computing & Big Data academic calendars, visit Cloud Computing & Big Data all semesters academic calendar<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"

        Bigdata Analytics detailed syllabus for Cloud Computing & Big Data (CC) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Cloud Computing & […]<\/p>\n","protected":false},"author":2462,"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":[73],"tags":[],"class_list":["post-7823","post","type-post","status-publish","format-standard","hentry","category-cc"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts\/7823","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/users\/2462"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/comments?post=7823"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts\/7823\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/media?parent=7823"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/categories?post=7823"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/tags?post=7823"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}