In this article, Srinath Perera takes a look at a simple approach for a time series next value prediction, using the individual data set from a single household's electricity consumption.
Asynchronous end-to-end calls starting from the view layer to the backend is important in a microservices architecture because there is no guarantee that the containers which receive the calls will handle the response.
This article will show you how to set up a clustered MongoDB to store the data, a Solr Cloud to index the data in MongoDB in real time. Then how to use mongo-connector to replicate data from MongoDB to Solr Cloud. And finally, develop a simple Spring Data Solr application that talks to Solr Cloud to search the data in MongoDB.
With microservices architecture, you’ll not only make it easier for your engineers to make regular updates but you will also have multiple preventive stopgaps that will ensure your system is secure.
Documents in MongoDB have a unique object ID when they are created. How can we get around this to develop a more effective REST API when document lookups are involved?
It's easy to use Venn diagrams to explain JOINs, but when you think about it, they're not quite the right tool to use. That's where JOIN diagrams come in.
How many times have you reviewed a log file without the data key (secret decoder ring) that explains what everything means. When a user more informative and intuitive format like JSON or XML? It's not too hard to do and can be quite helpful. Here's an example.
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