Location-enabled Data Science with Precisely on AWS

Publication date: September 06, 2023 (Diagram history)

This reference architecture shows how customers can deploy Precisely geo addressing capabilities on Amazon SageMaker or Amazon EMR Studio to enhance experiments with location-aware data.

Location-enabled Data Science with Precisely on AWS Diagram

1. Amazon CloudWatch is scheduled to invoke AWS Lambda at a set intervals (such as monthly or quarterly).

2. LambdaLambda is invoked and starts to compute resources.

3. An Amazon Elastic Compute Cloud (Amazon EC2) compute instance is started.

4. Precisely datasets are updated at established intervals. Automatic Data Downloader monitors changes and automatically downloads data from Precisely Data Experience into Amazon Simple Storage Service (Amazon S3) in a variety of formats, including flat files (.txt, .csv), spatial data (.shp, .tab), and geocoding reference data (.spd).

5. Use Amazon S3 to get the Geo Addressing SDK from Precisely Fulfillment.

6. Reference data is downloaded to your Amazon S3 bucket.

7. Reference data and SDKs are ready to be used for geo addressing on Amazon SageMaker or Amazon EMR Studio.

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Create a free AWS account

Sign up for an AWS account. New accounts include 12 months of AWS Free Tier access, including the use of Amazon EC2, Amazon S3, and Amazon DynamoDB.

Further reading

For additional information, refer to

• AWS Architecture Icons

• AWS Architecture Center

• AWS Well-Architected

• Precisely - Geo addressing, geocoding, and data enrichment solutions

Contributors

Contributors to this reference architecture diagram include:

• Ayan Ray, Senior Partner Solutions Architect, Amazon Web Services

Diagram history

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Change	Description	Date
Initial publication	Reference architecture diagram first published.	September 6, 2023

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