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Charles Severance
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.
Read more
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.
Read more
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.
What you'll 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.
Register for this course and see more details by visiting:
OpenCourser.com/course/16w6ft/json
What's inside
Learning objectives
- 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.
- 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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches methods for indexing natural language text and JSON data in PostgreSQL
Provides hands-on experience in building and using inverted indexes in PostgreSQL
Helps learners develop skills in data retrieval from API sources and storage in JSON columns within PostgreSQL
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in JSON and Natural Language Processing in PostgreSQL with these
activities:
Review 'Fundamentals of Database Systems' by Ramez Elmasri and Shamkant Navathe
Show steps
Review a foundational textbook on database systems to strengthen your understanding of the concepts related to PostgreSQL and indexing.
Show steps
-
Read and understand the chapters on indexing and database design.
-
Solve practice problems and review the provided examples.
Practice advanced indexing techniques
Show steps
Practice creating and using advanced indexing techniques for JSON and natural language content in PostgreSQL to reinforce your understanding of the concepts covered in the course.
Show steps
-
Create a PostgreSQL database and table to store JSON data.
-
Create an inverted index on a JSON column using GIN.
-
Create a ts_vector index on a natural language text column.
-
Query the database using the created indexes to retrieve relevant data.
Show all two activities
Review 'Fundamentals of Database Systems' by Ramez Elmasri and Shamkant Navathe
Show steps
Review a foundational textbook on database systems to strengthen your understanding of the concepts related to PostgreSQL and indexing.
Show steps
Show steps
Show steps
- Read and understand the chapters on indexing and database design.
- Solve practice problems and review the provided examples.
Practice advanced indexing techniques
Show steps
Practice creating and using advanced indexing techniques for JSON and natural language content in PostgreSQL to reinforce your understanding of the concepts covered in the course.
Show steps
Show steps
Show steps
- Create a PostgreSQL database and table to store JSON data.
- Create an inverted index on a JSON column using GIN.
- Create a ts_vector index on a natural language text column.
- Query the database using the created indexes to retrieve relevant data.
Show all two activities
Career center
Learners who complete JSON and Natural Language Processing in PostgreSQL will develop knowledge and skills
that may be useful to these careers:
Database Administrator
Database Administrator
As a Database Administrator, you will be responsible for managing and maintaining databases. Proficiency with PostgreSQL, GIN-based text[] reverse index, and ts_vector indexing, which is built into PostgreSQL, will assist with your ability to query and optimize databases. PostgreSQL is a popular database management system used by many organizations to manage their data. This course will help you build a foundation in PostgreSQL and its capabilities, which will make you a more competitive candidate for Database Administrator positions.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, testing, and maintaining software systems. If you want to work as a Software Engineer, it is important to be able to write efficient code, and to design and implement software solutions. Full-text inverted indexes are an important part of many software systems, and this course can help you build a foundation in this area. Additionally, the course will introduce you to JSON and natural language processing, which are two important technologies for many software systems.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data. Proficiency with Python for accessing API data, and PostgreSQL for storing and manipulating data will be important in this role. This course will help you build a foundation in these areas, which will make you a more competitive candidate for Data Analyst positions.
Data Scientist
Data Scientist
Data Scientists use scientific methods to extract knowledge and insights from data in various forms, both structured and unstructured. This course will introduce you to JSON and natural language processing, which are two important technologies for Data Scientists. Additionally, the course will help you build a foundation in PostgreSQL, which is a popular database management system that is often used by Data Scientists.
Information Architect
Information Architect
An Information Architect is responsible for designing and organizing information systems. Proficiency with PostgreSQL and full-text inverted indexes will be important in this role. Full-text inverted indexes are an important part of many information systems, and this course can help you build a foundation in this area.
Information Retrieval Specialist
Information Retrieval Specialist
An Information Retrieval Specialist is responsible for designing and implementing systems that allow users to search for and retrieve information. Proficiency with PostgreSQL and full-text inverted indexes will be important in this role. Full-text inverted indexes are an important part of many information retrieval systems, and this course can help you build a foundation in this area.
Knowledge Engineer
Knowledge Engineer
A Knowledge Engineer is responsible for designing and developing knowledge-based systems. Proficiency with JSON and natural language processing will be important in this role. JSON and natural language processing are two important technologies for many knowledge-based systems, and this course can help you build a foundation in these areas.
Natural Language Processing Engineer
Natural Language Processing Engineer
A Natural Language Processing Engineer is responsible for designing and developing systems that can understand and generate natural language. Proficiency with natural language processing and PostgreSQL will be important in this role. Natural language processing is a complex field, and this course can help you build a foundation in this area. Additionally, PostgreSQL is a popular database management system that is often used by Natural Language Processing Engineers.
Search Engine Optimizer
Search Engine Optimizer
A Search Engine Optimizer is responsible for optimizing websites and content to improve their ranking in search engine results. Proficiency with PostgreSQL and full-text inverted indexes will be important in this role. Full-text inverted indexes are an important part of many search engines, and this course can help you build a foundation in this area.
Software Architect
Software Architect
A Software Architect is responsible for designing and overseeing the development of software systems. Proficiency with PostgreSQL and full-text inverted indexes will be important in this role. Full-text inverted indexes are an important part of many software systems, and this course can help you build a foundation in this area.
Systems Analyst
Systems Analyst
A Systems Analyst is responsible for analyzing and designing systems to meet the needs of an organization. Proficiency with PostgreSQL and full-text inverted indexes will be important in this role. Full-text inverted indexes are an important part of many systems, and this course can help you build a foundation in this area.
Technical Writer
Technical Writer
A Technical Writer is responsible for writing and editing technical documentation. Proficiency with natural language processing and JSON will be important in this role. Natural language processing can help you to write more clearly and concisely, and JSON is a popular data format for technical documentation.
Web Developer
Web Developer
A Web Developer is responsible for designing and developing websites and web applications. Proficiency with PostgreSQL and full-text inverted indexes will be important in this role. Full-text inverted indexes are an important part of many web applications, and this course can help you build a foundation in this area.
Data Architect
Data Architect
A Data Architect is responsible for designing and managing the architecture of data systems. Proficiency with PostgreSQL and full-text inverted indexes will be important in this role. Full-text inverted indexes are an important part of many data systems, and this course can help you build a foundation in this area.
Database Designer
Database Designer
A Database Designer is responsible for designing and implementing database systems. Proficiency with PostgreSQL and full-text inverted indexes will be important in this role. Full-text inverted indexes are an important part of many database systems, and this course can help you build a foundation in this area.
For more career information including salaries, visit:
OpenCourser.com/course/16w6ft/json
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
JSON and Natural Language Processing in PostgreSQL.
Is an excellent resource for learning natural language processing using Python. It covers a wide range of topics, including text preprocessing, tokenization, stemming, lemmatization, parsing, and machine learning for NLP.
Comprehensive guide to the Natural Language Toolkit (NLTK), a popular Python library for natural language processing. It provides detailed explanations of NLTK's modules and functions, making it a valuable resource for both beginners and experienced users.
Is an excellent resource for learning PostgreSQL, covering a wide range of topics, including installation, configuration, database design, SQL queries, and performance tuning. It provides a comprehensive overview of PostgreSQL and is suitable for both beginners and experienced users.
Provides a deep dive into the internals of PostgreSQL, covering topics such as data structures, query optimization, and concurrency control. It offers unique insights into how PostgreSQL works and is suitable for experienced users who want to gain a deeper understanding of the database.
PostgreSQL 11 Administrator's Guide comprehensive guide to PostgreSQL administration, covering everything from installation and configuration to advanced topics such as security and backup. great resource for anyone who wants to learn more about PostgreSQL administration and how to keep their PostgreSQL databases running smoothly.
PostgreSQL for macOS comprehensive guide to PostgreSQL for macOS users. great resource for anyone who wants to learn more about PostgreSQL and how to use it on macOS.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/16w6ft/json
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Effort
2 to 4 hours per week for 4 weeks
Level
Introductory
Via
edX
Institution
The University of Michigan
Instructor
Charles Severance
Language
English
Transcript
English
Good to know
Teaches methods for indexing natural language text and JSON data in PostgreSQL
Provides hands-on experience in building and using inverted indexes in PostgreSQL
Helps learners develop skills in data retrieval from API sources and storage in JSON columns within PostgreSQL
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