IBM
Vector Search with NoSQL Databases using MongoDB & Cassandra
IBM

Vector Search with NoSQL Databases using MongoDB & Cassandra

Skill-Up EdTech Team
Richa Arora

Instructors: Skill-Up EdTech Team

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.8

(22 reviews)

Intermediate level

Recommended experience

4 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.8

(22 reviews)

Intermediate level

Recommended experience

4 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Sought-after vector search skills in NoSQL databases that businesses need in just one week

  • How to store and index vectors efficiently and perform vector searches in MongoDB

  • How to store and query vectors and perform vector searches in Cassandra

  • How to apply vector search concepts to building practical applications like movie recommendation systems, inventory management, and personalization

Details to know

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Recently updated!

June 2024

Assessments

3 assignments

Taught in English

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This course is part of the Vector Database Fundamentals Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There is 1 module in this course

Welcome to this module, where you’ll explore integrating vector search capabilities with NoSQL databases such as MongoDB and Cassandra. You’ll explore the fundamentals of MongoDB and Cassandra, its features for storing and querying vectors, and how to perform efficient vector searches. You’ll also learn how to leverage the unique features of each database system to perform efficient vector searches and build practical applications such as text similarity analysis and recommendation systems.

What's included

10 videos5 readings3 assignments4 app items6 plugins

Instructors

Skill-Up EdTech Team
SkillUp EdTech
66 Courses118,342 learners

Offered by

SkillUp EdTech

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4.8

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Reviewed on Oct 21, 2024

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