Bader, David

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New Jersey Institute of TechnologyDigital Commons @ NJITComputer Science Syllabi NJIT SyllabiFall 2019CS 644-1J1: Big DataDavid BaderFollow this and additional works at: https://digitalcommons.njit.edu/cs-syllabiThis Syllabus is brought to you for free and open access by the NJIT Syllabi at Digital Commons @ NJIT. It has been accepted for inclusion inComputer Science Syllabi by an authorized administrator of Digital Commons @ NJIT. For more information, please contactdigitalcommons@njit.edu.Recommended CitationBader, David, "CS 644-1J1: Big Data" (2019). Computer Science Syllabi. 33.https://digitalcommons.njit.edu/cs-syllabi/339/3/2019 CS6441J1-Introduction to Big Datahttps://njit.instructure.com/courses/8497 1/4CS644: Big DataJump to Today  EditRequired BackgroundProgramming SkillsJava or C/C++ in LinuxPrerequisite CoursesCS 610: Data Structures and AlgorithmsOr permission of instructorTextbook (https://www.amazon.com/Big-Data-Analytics-Enterprise-Integration-ebook/dp/B00EVSOWVA)Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques,NoSQL, and Graph  (https://www.amazon.com/Big-Data-Analytics-Enterprise-Integration-ebook/dp/B00EVSOWVA) . By David Loshin, Elsevier, August 23, 2013. ResourcesAdditional reading materials including reference books and online resources will be assigned for someadvanced topics as the course proceeds.Week Topic1 Introduction2 In-class Presentation on 4 V’s of Big DataApplications3Trends of Computing for Big DataHigh-performance Computing(Supercomputers and Clusters)Grid ComputingCloud ComputingMobile Computing4, 5Big Data OverviewDrivers of Big DataBig Data AttributesData StructuresBig Data EcosystemExamples of Data Analytics6, 7 Big Data Tools, Techniques, and SystemsExascale Computing9/3/2019 CS6441J1-Introduction to Big Datahttps://njit.instructure.com/courses/8497 2/4HDFS, HBase, and NoSQL (Document Store,Graph DB, etc.)MapReduce, Spark, Oozie, Tez, Hive, Pig, etc.Hadoop 1 and Hadoop 2 (YARN)8, 9 Review and Midterm Exam10, 11Advanced Analytical Theory and MethodsHadoop/MahoutRecommendationClusteringClassificationRegression12, 13, 14Advanced TopicsBig Data Volume and Information VisualizationHigh-performance Networking for Big DataMovementBig Data Scientific Workflow Management andOptimizationMassive-Scale Graph Analytics15 Review EvaluationGrading components:Attendance 10%Homework 10%Project 20%Midterm 30%Final Exam 30%Late PolicyStudents are expected to complete work on schedule. Late work is not accepted unless prior arrangementsare made with the instructor.Academic Integrity and Student Conduct:“Academic Integrity is the cornerstone of higher education and is central to the ideals of this course and the university. Cheating is strictly prohibited and devalues the degree that you are working on. As a member of the NJIT community, it is your responsibility to protect your educational investment by knowing and following the academic code of integrity policy that is found at:9/3/2019 CS6441J1-Introduction to Big Datahttps://njit.instructure.com/courses/8497 3/4Course Summary: Date DetailsMon Sep 9, 2019 Lecture (https://njit.instructure.com/calendar?event_id=571&include_contexts=course_8497) 6pm to 9pmMon Sep 16, 2019 Lecture (https://njit.instructure.com/calendar?event_id=572&include_contexts=course_8497) 6pm to 9pmMon Sep 23, 2019 Lecture (https://njit.instructure.com/calendar?event_id=573&include_contexts=course_8497) 6pm to 9pmMon Sep 30, 2019 Lecture (https://njit.instructure.com/calendar?event_id=574&include_contexts=course_8497) 6pm to 9pmMon Oct 7, 2019 Lecture (https://njit.instructure.com/calendar?event_id=575&include_contexts=course_8497) 6pm to 9pmMon Oct 14, 2019 Lecture (https://njit.instructure.com/calendar?event_id=576&include_contexts=course_8497) 6pm to 9pmhttp://www.njit.edu/policies/sites/policies/files/academic-integrity-code.pdf(http://www5.njit.edu/policies/sites/policies/files/academic-integrity-code.pdf.) Please note that it is my professional obligation and responsibility to report any academic misconduct to the Dean of Students Office. Any student found in violation of the code by cheating, plagiarizing or using any online software inappropriately will result in disciplinary action. This may include a failing grade of F, and/or suspension or dismissal from the university. If you have any questions about the code of Academic Integrity, please contact the Dean of Students Office at dos@njit.edu” (mailto:dos@njit.edu%E2%80%9D)Reading Materials:How To Kill A Supercomputer: Dirty Power, Cosmic Rays, and Bad Solder?(http://spectrum.ieee.org/computing/hardware/how-to-kill-a-supercomputer-dirty-power-cosmic-rays-and-bad-solder) By Al Geist, Feb. 2016Global Big Data Market from the Ricerca Alfa  (https://www.ricercaalfa.com/) , a leading market researchfirm estimated that the overall Big Data market hold a market size of approximately US$ 65 billion for theyear 2018 globally.Hadoop installationOozie installation instructions: slides 9/3/2019 CS6441J1-Introduction to Big Datahttps://njit.instructure.com/courses/8497 4/4Date DetailsMon Oct 21, 2019 Lecture (https://njit.instructure.com/calendar?event_id=577&include_contexts=course_8497) 6pm to 9pmMon Oct 28, 2019 Lecture (https://njit.instructure.com/calendar?event_id=578&include_contexts=course_8497) 6pm to 9pmMon Nov 4, 2019 Lecture (https://njit.instructure.com/calendar?event_id=579&include_contexts=course_8497) 6pm to 9pmMon Nov 11, 2019 Lecture (https://njit.instructure.com/calendar?event_id=580&include_contexts=course_8497) 6pm to 9pmMon Nov 18, 2019 Lecture (https://njit.instructure.com/calendar?event_id=581&include_contexts=course_8497) 6pm to 9pmMon Nov 25, 2019 Lecture (https://njit.instructure.com/calendar?event_id=582&include_contexts=course_8497) 6pm to 9pmMon Dec 2, 2019 Lecture (https://njit.instructure.com/calendar?event_id=583&include_contexts=course_8497) 6pm to 9pmMon Dec 9, 2019 Lecture (https://njit.instructure.com/calendar?event_id=584&include_contexts=course_8497) 6pm to 9pm

CS 644-1J1: Big Data

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CS 644-1J1: Big Data

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