Moving from a pure relational database to a polyglot persistence approach is the key to solving dedicated use cases effectively. Each database handles its core data model best, and their combination provides the best of both worlds for application development productivity and efficient large-scale data management.
While working on many integration projects we've seen the need for well-engineered connectors, since combining different databases requires data synchronization and a communication solution, especially for document-oriented databases. In this talk, we'll introduce the doc2graph project, which is a solution that allows you to easily analyze relationships hidden in document data. We'll demonstrate examples for Couchbase, MongoDB and a generic API returning JSON data and how to configure the connector to get the best graph model for your analysis.
Omar is a passionate IT-expert in software developement and design. He works at LARUS since 2007 as a developer and R&D member growing his passion for open-source solutions and new tecnology. Since 2015 he's been involved on Big Data technologies and distributed computing, having a lot of pleasure working on them. He likes to works in agile teams and spend his spare time in martial art practice.