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University of Michigan

JSON and Natural Language Processing in PostgreSQL

University of Michigan via FutureLearn


Create strong indexes and PostgreSQL search engines with ease

If you have a background in basic Python programming language structures, this four-week course on JSON and NLP in PostgreSQL is for you.

Presented by the University of Michigan as part of their series on PostgreSQL and Python, the material will explain how full-text inverted indexes are structured and how PostgreSQL creates and uses these indexes for JSON and natural language content.

By the end, you’ll be able to build and support your own PostgreSQL database management system.

Explore JSON, Python, and PostgreSQL principles

The course starts with a comparison of Python programming language, PostgreSQL, and JSON. You’ll see how they relate to each other, and how they are all important in successful NLP.

You’ll also learn how to index and retrieve natural language text and JSON data, and how to access API data and store it in a database.

Use PostgreSQL to build your own index

After gaining a solid theoretical foundation in how NLP works, you’ll have the chance to apply the principles that you’ve learnt.

Using various data sources including an online API, you’ll create a GIN-based text reverse index and ts_vector index, build a search engine in PostgreSQL, and then use built-in PostgreSQL capabilities to support your indexes.

Learn programming from a world-renowned institution

The University of Michigan has a record of more than two centuries of academic excellence, and will support you on every step of this well-designed course.

The engaging and practical training material equips you to create different indexes, build search engines, and take your programming career to the next level.

This course is designed for programmers with a background in basic Python, who would like to develop their PostgreSQL skills.

Taught by

Sean Vucinich


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