JSON and Natural Language Processing in PostgreSQL
Master PostgreSQL's JSON handling and natural language processing capabilities. Learn indexing, retrieval, and API integration.
Master PostgreSQL's JSON handling and natural language processing capabilities. Learn indexing, retrieval, and API integration.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full PostgreSQL for Everybody Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
(125 ratings)
8,651 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
Powered by
What you'll learn
Create and manage inverted indexes for JSON and text data
Implement full-text search capabilities using PostgreSQL
Build GIN-based text[] reverse indexes and ts_vector indexes
Integrate and store API data in PostgreSQL databases
Develop efficient search engine functionality
Optimize database performance with proper indexing strategies
Skills you'll gain
This course includes:
5.2 Hours PreRecorded video
2 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This comprehensive course focuses on advanced PostgreSQL features for handling JSON and natural language processing. Students learn to create and use inverted indexes for both JSON and natural language content, work with API data, and implement full-text search capabilities. The curriculum covers GIN-based indexing, ts_vector and ts_query functions, and practical applications through hands-on projects with various data sources.
Natural Language
Module 1 · 6 Hours to complete
Inverted Indexes with PostgreSQL
Module 2 · 3 Hours to complete
Python and PostgreSQL
Module 3 · 3 Hours to complete
JSON and PostgreSQL
Module 4 · 3 Hours to complete
Fee Structure
Instructor
Innovating Education Through Technology
Charles Severance, known as Dr. Chuck, is a Clinical Professor at the University of Michigan School of Information, where he teaches technology-focused courses, including programming, database design, and web development. An accomplished author, he has written several books, such as Using Google App Engine and Python for Everybody. His research centers on developing learning management systems, having served as the chief architect for Sakai, which is utilized by approximately 300 educational institutions worldwide. He documented his experiences in the project through his book, Sakai: Free as in Freedom. In the mid-1990s, Dr. Severance hosted Internet: TCI, a national television talk show discussing internet topics. He also contributed to IEEE Computer Magazine as a columnist, where he conducted video interviews with prominent technology leaders and innovators in his monthly feature, "Computing Conversations."
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
4.6 course rating
125 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.