Ekstraksi Skema Database Berorientasi Dokumen untuk Data Warehouse

Telkom University
07 Oct 202112 min
What you'll learn
In the last few years, we have seen a dramatic increase in the volume of unstructured data. The development of web 2.0 and 3.0 and the increasing use of the internet by many individuals and organizations have resulted in the size of unstructured data having exceeded dramatically that of structured data. Most business organizations store unstructured data in document format. These documents are very important in the decision-making process. The existing work uses Hadoop for extracting the schema, and we notice some limitations of this approach. Therefore we propose using Google Cloud Platform to do the schema extraction. Based on the experimentation result, our approach outperformed the existing work in generating a validated schema and 35.55 minutes faster when formulating queries.
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