Real Time Ingestion and Analysis of data with MongoDB and Python

Teacher: Alessandro Molina — AXANT

Nowadays more and more data is generated by companies and software products, especially in the IoT world records are saved with a throughput of thousands per second.

That requires solutions able to scale writes and perform real time cleanup and analysis of thousands of records per second and MongoDB is getting wildly used in those
environments in the role of what’s commonly named “speed layers” to perform fast analytics over the most recent data and adapt or cleanup incoming records.

This session aims to show how MongoDB can be used as a primary storage for your data, scaling it to thousand of records and thousand of writes per second while also acting as a real-time analysis and visualization channel thanks to change streams and as a flexible analytics tool thanks to the aggregation pipeline and MapReduce.

Prerequisites: Python, JavaScript.

#mongodb #realtime #scaling #mapreduce