Eng Fra

Pierre Senellart

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Data acquisition, extraction, and storage (2025–2026)

Course material for Data acquisition, extraction, and storage of the IASD master.

  • Web content acquisition
  • Structured content extraction from the Web
  • Lab: Scrapy
  • Handling Relational Data
  • Lab: relational data
  • Processing other (non-HTML, non-tabular) data formats
  • Distributed Computing with MapReduce and Beyond
  • Provenance in Databases: Principles and Applications

Assessment

  • Data acquisition, extraction, and storage

Contact: pierre@senellart.com
  • Assessment

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