Introduction of Big Data: Dawn of the Big Data Era, Definition and Features of Big Data, Big Data Value, the Development of Big Data, Challenges of Big Data.
Big Data Related Technologies: Cloud Computing, Relationship between Cloud Computing and Iot, Relationship between Iot and Big Data, Data Center. Data Collection,
Sampling and Preprocessing: Types of Data Sources, Sampling, Types of Data Elements, Big Data Generation, Enterprise Data, Iot Data, Internet Data, Bio-Medical Data, Data Collection, Data Transportation, Data Pre-Processing, Visual Data Exploration and Exploratory Statistical Analysis.
Big Data Storage: Storage System for Massive Data, Distributed Storage System, Storage Mechanism for Big Data, Database Technology, Design Factors, Database Programming Model.
Big Data Processing Algorithms: Multi-Core Versus Distributed Systems, Distributed Algorithms, Distributed Hash Tables, Bulk Synchronous Parallel (Bsp), Mapreduce Paradigm, Input Reader and output Writers, Putting all Together.
Big Data Search and Mining: Big Data Search and Retrieval, K-Means Clustering, Social Network Clustering—Topology Discovery, Clustering Algorithm to find Network Topologies, Social Network Condensation, Text Sentiment Mining,
Big Data Mining and Analysis Tools. Big Data Applications: Structured Data Analysis, Text Data Analysis, Web Data Analysis, Multimedia Data Analysis, Network Data Analysis, Mobile Traffic Analysis, Application of Big Data in Enterprises, Application of Online Social Network-Oriented Big Data, Applications of Healthcare and Medical Big Data.