If any of the indicators were providing faulty readings, the challenge was to analyze the incoming data without impacting the ability of the cars to send data. The operations team is monitoring the incoming data being sent by cars in transit with system alerts configured for any faults in critical indicator readings. Each car sends operational data to its mothership. The scenario is built around a fictitious company managing a fleet of cars.
I recently had the pleasure of creating a product demo inspired by one of the early adopters of Couchbase Analytics. I’ve always believed that the proof is in the proverbial pudding when it comes to analyzing and visualizing JSON data in real time and will spend the next section showcasing how Couchbase solves this challenge. Couchbase Analytics in Couchbase Server 6.0 brings “NoETL for NoSQL” and enables users to run ad-hoc analytical queries on JSON data in their natural form - without the need for transformation or schema design - by leveraging a massively parallel processing (MPP) query engine.Įvery enterprise has already invested in a visualization tool and a critical need is for them to leverage existing investments and not have to re-train their business reporting and dashboarding teams. In this piece, I will cover how to set up a Couchbase Analytics cluster in under 5 clicks and create a real-time visualization dashboard with Tableau.Ĭouchbase Server 6.0 is a hybrid NoSQL database that supports operational and analytical workloads. Building real-time data visualization of data in Couchbase Analytics with Tableau
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