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JSON and Natural Language Processing in PostgreSQL

In this third course in PostgreSQL for Everybody, learners will learn how PostgreSQL creates and uses JSON and natural language content. Learners will explore using multiple sources of data and how text is structured within PostgreSQL.

JSON and Natural Language Processing in PostgreSQL

There is one session available:

After a course session ends, it will be archivedOpens in a new tab.
Starts Jan 19
Ends Aug 31
Estimated 4 weeks
2–4 hours per week
Progress at your own speed
Optional upgrade available

About this course

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Within this course, you’ll learn about how PostgreSQL creates and uses inverted indexes for JSON and natural language content. We will use various sources of data for our databases, including access to an online API and spidering its data and storing the data in a JSON column in PostgreSQL. Students will explore how full-text inverted indexes are structured. Students will build their own inverted indexes and then make use of PostgreSQL built-in capabilities to support full-text indexes.

At a glance

  • Language: English
  • Video Transcript: English

What you'll learn

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  • Compare Python, PostgreSQL, and JSON
  • Index and retrieve natural language text and JSON data; access API data and store it in a database
  • Create a GIN-based text[] reverse index and ts_vector index; build a search engine in PostgreSQL.

About the instructors

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