Vector, Graph, and DynamoDB
Offered By: LinkedIn Learning
Course Description
Overview
Learn about vector and graph databases and how they can store data while maintaining relationships.
Syllabus
1. Vector, Graph, and DynamoDB
- Picking a database
- Intro to Amazon Neptune
- Key Rust CLI
- Rust CLI Graph lab
- What is SQLite?: Key features
- ETL with SQLite
- ETL with SQLite: Demo
- What is DynamoDB?
- What are vector databases?
- Using CRUD with DynamoDB and the CLI
- Using CRUD with DynamoDB and Python
- Using CRUD with DynamoDB and Rust
- Learn AWS CloudShell: Demo
- Learn AWS CodeCatalyst: Demo
- Learn AWS CodeWhisperer: Demo
- Create a table with the CLI
- Populate table batch
- Query a table with values
- Project walkthrough
- Semantic search
- Quickstart Qdrant
- Qdrant Rust client
- Vector database architecture
- Enhance semantic search
- Graph databases
Taught by
Noah Gift
Related Courses
NoSQL Database SystemsArizona State University via Coursera Analyzing Connected Data with SAP HANA Graph
SAP Learning NoSQL systems
Universidad Nacional Autónoma de México via Coursera SQL Server 2017: What's New
LinkedIn Learning Amazon Quantum Ledger Database (QLDB) Service Introduction
Pluralsight