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.
This course is part of the PostgreSQL for Everybody Specialization
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About this Course
Completion of the first two courses in the Python for Everybody specialization or an equivalent basic understanding of Python
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Try Coursera for BusinessWhat you will learn
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.
Completion of the first two courses in the Python for Everybody specialization or an equivalent basic understanding of Python
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Natural Language
Inverted Indexes with PostgreSQL
Python and PostgreSQL
JSON and PostgreSQL
Reviews
- 5 stars77.66%
- 4 stars10.67%
- 3 stars6.79%
- 2 stars0.97%
- 1 star3.88%
TOP REVIEWS FROM JSON AND NATURAL LANGUAGE PROCESSING IN POSTGRESQL
Could use some more examples on WHY we need JSON in a SQL setup
Week 4 was a titbit challenging, but I figure it out. On to the next one. Lol
Week 3 and week 4 instructions can be a bit ambiguous, however the discussion form posts helped a lot.
This course teaches some niche applications. Not sure if i'll ever have to use them, but good to know what to look for in case it ever comes up at work :)
About the PostgreSQL for Everybody Specialization

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