Transform Your Data Operations in Hours, Not Months 

One-click Entity Resolution using Amazon Q and Senzing

Master Mapping with Gen AI

ACCELERATE YOUR ENTITY RESOLUTION SKILLS 

In this hands-on workshop, you'll learn how to leverage AI tools like Amazon Q Developer to map, load, and explore your data with Senzing entity resolution using a structured, repeatable workflow that delivers production-ready results.

Join us to empower your team with best practices for secure, scalable, and future-ready data transformation.

What You'll Take Away From This Bootcamp

What You'll Learn

Map Source Data to Senzing Format

Understand how to map source data to Senzing format using the 5-stage AI-assisted workflow. Learn the structured, repeatable process that ensures accurate, production-ready mappings.

Generate Production-Ready Mapper Code

Know how to automatically generate mapper code and documentation that is ready to implement immediately, reducing manual effort and accelerating your workflow.

Validate Mappings Effectively

Learn to validate mappings using proven Senzing tools both before and after mapping to ensure accuracy and consistency.

Load and Analyze Entity Resolution Results

Be able to load mapped data and analyze entity resolution outcomes for your datasets, ensuring reliable insights and improved operational efficiency.

Master the Senzing Mapping Assistant Workflow

Walk away confident in using the Senzing Mapping Assistant workflow for your own data sources, enabling repeatable, scalable entity resolution processes.

Investigate Your Results

Dive deeper into your entity resolution outputs to identify patterns, troubleshoot anomalies, and validate that your mappings produced accurate, actionable insights.

Who Should Attend

Developers and data scientists
Data engineering teams
Solution architects and technical leads
Anyone preparing a POC, pilot, or internal demo involving entity resolution

You should have:

  • Basic familiarity with IDEs (Visual Studio Code or code-server)
  • Understanding of data formats (CSV, JSON)
  • Experience with data transformation concepts
  • No prior Senzing experience required

About Ths Bootcamp

Bootcamp Logistics

Format

Virtual instructor-led training.

Required Resources

A laptop with Python installed
Access to the provided sample Python mapping code (sent upon registration).

Duration

<4 hours