This is a “Low Cognitive Load” discussion of MongoDB .
Its purpose is to provide an informative overview of how MongoDB works, while not diving too far into technical details.
We will cover (mostly with live demonstrations):
- Differences between MongoDB and SQL-type data structures
- Data modeling concepts for MongoDB, and the handling of data relationships – including Aggregation Pipelines, Views, and Triggers
- Mongodb’ s “BI Connector” ODBC driver, which allows Claris Pro to view Mongdb data as a MySQL source.
- Comparing the performance in Claris Pro for handling of typical queries and data maintenance tasks, when data is stored in:
- Native FileMaker (Draco)
- ESS+ (Claris Studio-MongoDB),
- ESS: MySQL,
- Mongodb Itself (using its Data API),
- Setting up a Simple MongoDB Cluster
- Resources for further learning
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