Big data

Nội dung tìm hiểu về Big data

Nguồn tham khảo: 

Introduction of Big Data

• The Big Data Era

• Definition and Features of Big Data

• Big Data Value

• Challenges of Big Data.

Big Data Related Technologies

• Cloud Computing, Relationship between Cloud Computing and Big data

• Iot, Relationship between Iot and Big Data

• Hadoop, Relationship between Hadoop and Big Data.

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 Architecture

• Space of Big Data, Characteristics of Big Data, Data R&D—the Fertile Ground for Innovation, Building the Data Architecture, Putting it all Together, Architecture Futures..

Big Data Processing Algorithms

• Multi-Core Versus Distributed Systems, Distributed Algorithms, Distributed Hash Tables, Bulk Synchronous Parallel (Bsp), Mapreduce Paradigm, Hdfs, Mapreduce Computing Platform, Job Tracker, Task Trackers, Yarn, Partitioners and Combiners, Input Reader and output Writers, Putting all Together, Hadoop Streaming, Distributed Cache, Multiple Outputs, Iterative Mapreduce, Machine Learning with Mapreduce..

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

• Big Data Analysis Fields

• 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 Iot Based Big Data

• Application of Online Social Network-Oriented Big Data

• Applications of Healthcare and Medical Big Data, Collective Intelligence, Smart Grid.

Tài liệu về Big data

Sách

• Chen, M., Mao, S., Zhang, Y., & Leung, V. C. (2014). Big data: related technologies, challenges and future prospects (Vol. 100). Heidelberg: Springer.

• Mohanty, H., Bhuyan, P., & Chenthati, D. (Eds.). (2015). Big data: A primer (Vol. 11, p. 183). Berlin: Springer.

• Baesens, B. (2014). Analytics in a big data world: The essential guide to data science and its applications. John Wiley & Sons.

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