Abstract
Today, a vigorous growth in the creation of digital data communications in synergistic operating networks. Enterprise collaboration systems face the challenges of extracting, processing, and analyzing data from multiple cloud services. Distributed cloud data storage and retrieval via the predefined schema of structured databases has become increasingly inefficient with the advent of Big Data (varies in representation from structured to semi-structured and unstructured formats). The Hadoop Ecosystem System is being adopted to reduce the complexity of moving data to and from the cloud computing service. In the Hadoop approach, the solution supports Hadoop Database (HBase) external tables, thereby enabling users to access data residing on the Hadoop Distributed File System (HDFS). In addition, the agile code-free creation of Hadoop Extract-Load-Transform (ELT) data process to begin analyzing data in minutes, not days or weeks. A case study is conducted to illustrate that the Hadoop ELT approach for the syntax and semantics cloud data integration and support the provision of flexible interoperation of global enterprise collaboration systems.
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Lin, H.K., Liao, TJ. (2022). Cloud Hadoop for Enterprise Collaboration System. In: Hussain, C.M., Di Sia, P. (eds) Handbook of Smart Materials, Technologies, and Devices. Springer, Cham. https://doi.org/10.1007/978-3-030-58675-1_22-1
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DOI: https://doi.org/10.1007/978-3-030-58675-1_22-1
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