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CIS611 SS Chung Lab Assignment 2 Implementing Big Data Processing Pipelining to Build
Inverted Index Tables for Term Frequency (TF) and Document Frequency (DF) in RDBMS.
Transforming a SQL Query into Query Execution Plan in Relational Algebra for Query
Processing Part 1: Information Extraction from a Collection of Webpages as a Large Corpus of
Text Documents To build a big data analytic application for text analysis such as Web Search
Engine or AI Applications like Question Answering Systems, an enterprise big data processing
infrastructure integrates big data processing system with a big data analytic system as covered in
the class lecture note: Big data, Big data Processing, and Big data Analytics. Processing a large
collection of texts/documents/webpages

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CIS611 SS Chung Lab Assignment 2 Implementing Big Data Processing Pipe.pdf

  • 1. CIS611 SS Chung Lab Assignment 2 Implementing Big Data Processing Pipelining to Build Inverted Index Tables for Term Frequency (TF) and Document Frequency (DF) in RDBMS. Transforming a SQL Query into Query Execution Plan in Relational Algebra for Query Processing Part 1: Information Extraction from a Collection of Webpages as a Large Corpus of Text Documents To build a big data analytic application for text analysis such as Web Search Engine or AI Applications like Question Answering Systems, an enterprise big data processing infrastructure integrates big data processing system with a big data analytic system as covered in the class lecture note: Big data, Big data Processing, and Big data Analytics. Processing a large collection of texts/documents/webpages