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AWS Labs
Labs badge iconLAB

Load Data from an S3 Bucket to Amazon Neptune's SPARQL Environment

In this lab, you'll practice creating a SPARQL Data file and loading that file into Neptune using the bulk loader. When you're finished with this lab, you'll have a base workflow to build your production process.

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Labs - Load Data from an S3 Bucket to Amazon Neptune's SPARQL Environment

Lab info

Level
Beginner
Duration
40m
Released
Apr 20, 2021

Lab author

Lab Author: Jeff Hopper
Jeff Hopper
Jeff Hopper is a technologist with over 20 years of experience across several development stacks and business domains. He has enjoyed many of those years focusing on the .Net stack for both web and mobile development. His desire is to help people achieve more through technology in order to free up more time to be with family and friends. He and his lovely wife are currently adventuring across the United States in their RV and enjoying their recent empty nest phase of life.
  • Table of contents
  • What's a lab?
  • Prerequisites
Challenge

Create the RDF Data File

You'll create the Terse RDF Triple (Turtle) data file to be loaded into the Neptune instance.

Challenge

Upload the SPARQL Data File to S3

You'll upload the SPARQL data file–the RDF file created in the first challenge--to the S3 bucket.

Challenge

Verify That Neptune Has Access to the S3 Bucket

You'll verify that the IAM role was created correctly. Then you will attach that role to the Neptune cluster to allow the cluster to read files from the S3 bucket.

Challenge

Load the SPARQL Data File From the S3 Bucket

You'll initiate the Neptune bulk load request using the %load line magic command within the connected Sagemaker notebook.

Challenge

Query the Loaded RDF Data Using SPARQL

You'll run several SPARQL queries to verify that the RDF triples were loaded correctly.

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Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

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Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

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Did you know?

On average, you retain 75% more of your learning if you get time for practice.

Recommended prerequisites

  • Jupyter Notebooks
  • Resource Description Framework (RDF)
  • SPARQL Language Fundamentals

Start learning by doing today

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