Damon Feldman

Damon Feldman

Damon is a passionate “Mark-Logician,” having been with the company for over 7 years as it has evolved into the company it is today. He has worked on or led some of the largest MarkLogic projects for customers ranging from the US Intelligence Community to HealthCare.gov to private insurance companies.

Prior to joining MarkLogic, Damon held positions spanning product development for multiple startups, founding of one startup, consulting for a semantic technology company, and leading the architecture for the IMSMA humanitarian landmine remediation and tracking system.

He holds a BA in Mathematics from the University of Chicago and a Ph.D. in Computer Science from Tulane University.

Articles by the Author

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MarkLogic Releases the Healthcare Starter Kit v1.0
The MarkLogic Healthcare Starter Kit (“HSK”) is a runnable, starting-point toolkit to integrate, query, validate, master, and deliver healthcare data.
Data & AI MarkLogic
Damon Feldman April 21, 2022
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Standardizing Internal Data Models on FHIR
Learn about MarkLogic’s work on a FHIR-based standardized data model to support persisted payer data for our Medicaid Accelerators.
Data & AI MarkLogic
Damon Feldman September 01, 2021
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Avoiding the Franken-beast: Polyglot Persistence Done Right
They had data in multiple data stores — and wanted Polyglot persistence but got poly lot of headaches instead. Then they switched to MarkLogic’s multi-model database.
Data & AI MarkLogic
Damon Feldman June 22, 2021
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Building a Knowledge Graph for Scientific Research with MarkLogic & AWS
The Consolidated Coronavirus Research Hub was built in just six weeks using MarkLogic Data Hub Service on AWS. Learn more in this blog post.
Data & AI MarkLogic
Damon Feldman May 26, 2021
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Design Patterns: The Envelope Design Pattern
MarkLogic design patterns are reusable solutions for many of the commonly occurring problems encountered when designing MarkLogic applications.
Data & AI MarkLogic
Damon Feldman July 24, 2019
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Extending Data Fabrics Using the Operational Data Hub Model
Two emerging technology patterns help make combined, enterprise-wide data useful and secure: data fabrics and Operational Data Hubs (ODHs). This blog outlines the differences between data fabrics and data hubs, and outlines how they best work together.
Data & AI MarkLogic
Damon Feldman December 11, 2018
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