Lab - Amazon Neptune Query Tuning (Gremlin)
Offered By: Amazon Web Services via AWS Skill Builder
Course Description
Overview
In this lab you learn to use Amazon Neptune Explain (explain) and Amazon Neptune Profile (profile) to understand how Neptune processes queries and identify opportunities to improve query performance.
Objectives
- Interact with Neptune using a Notebook in the Neptune Workbench.
- Query Neptune using Gremlin queries.
- Generate and evaluate Neptune Explain and Neptune Profile output.
- Applying Neptune Gremlin query tuning principles.
- Review system-level database metrics.
- Resize a Neptune database.
Prerequisites
- A practical understanding of database query usage
- Familiarity with Amazon Neptune
- Familiarity with Gremlin graph traversal language
Outline
Task 1: Connect to the Amazon Neptune Workbench
Task 2: Tune Neptune Gremlin Queries
Task 3: Review System-level Database Metrics and Modify the Instance Class
Tags
Related Courses
Amazon Neptune Service IntroductionPluralsight Building Highly Connected Applications using Amazon Neptune
Pluralsight Managing a Graph Database with Amazon Neptune
Pluralsight Amazon Neptune Service Introduction (Simplified Chinese)
Amazon Web Services via AWS Skill Builder Build Modern Apps with Purpose-Built Databases (Spanish)
Amazon Web Services via AWS Skill Builder