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 | Jack Del Vecchio is a Bachelor student studying Computer Engineering at the Miami of Ohio University. Over the years, we have been adding support for new embedded languages and datastores to be leveraged by developers using the ECL language (find out what we currently support here). Jack joined the HPCC Systems Intern Program to add MongoDB to this list, which will make HPCC Systems more accessible to community users who choose to use MongoDB for their big data analytics projects. As well as the resources included here, read Jack's intern blog journal which includes a more in depth look of his work. 2022 Winner of the Best Poster Platform Enhancement Award |
Poster Abstract
As a summer intern for HPCC Systems, I worked on a plugin that utilized the HPCC Systems engine to make calls to MongoDB allowing for access to an external datastore. My poster provides details of the API that was used by my plugin to communicate between the two systems. The two systems have similar data types that are native to them, but there are some differences as shown on my poster.
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