Techniques to Speed Up Document Database Analysis & Automate Documentation

This short session will provide introductory techniques to document the structure, metadata, and content of popular document databases such as MongoDB, CouchDB, Couchbase, and MarkLogic for the purpose of speeding up analysis and data mining.

Attendees will learn:

Why documentation and Document database metadata is valuable to data scientists, records coordinators, information security professionals, data governance teams and more
What are the challenges to finding, documenting and using document database structural information and metadata
Recommended steps to create document database metadata
Recommended steps to wisely manage development and growth of document databases

Dan Myers (MBA, IQCP) is the principal educator of Data Quality Matters, an eLearning company focused on providing information and data quality learning material. Previously Dan worked as an applications developer, data modeler, and manager of data governance/data quality. Dan's fluency in Japanese enabled him to work in both the public and private sector in Japan.