Syllabus
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Course Code: BCA-604(II) Course Name: PRINCIPLES OF BIG DATA |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
|---|---|---|
| 1 | Big Data: Concept and Terminology, Definition, Historic Development, Characteristics, Features, Purpose, Value and Challenges of Big Data, Different types of Data, Business Motivations and Drivers for Big Data Adoption, Big Data Generation, Big Data Acquisition. | |
| 2 | Big Data Storage: Storage System with Massive Data, Distributed Storage System, Storage Mechanism for Big Data, Sharding, Replication, CAP Theorem, Database Technology and Design Factors. Big data Planning Considerations, Database Programming Model: MapReduce, Dryad, All-Pairs, Pregel | |
| 3 | Big Data Analysis: Traditional Data Analysis, Big Data Analytic Methods, Architecture for Big Data Analysis, Tools for Big Data Mining and Analysis. Big Data Analysis Fields: Structured, Text, Web, Multimedia, Network, Mobile Traffic Data Analysis. | |
| 4 | Big Data Related Technologies: Cloud Computing, Relationship between Cloud Computing and Big Data, Data Security related to cloud based big data solutions, IoT, Relationship between Iot and Big Data, Hadoop, Relationship between Hadoop and Big Data. Data Center, Data Security. | |
