A lot of players on the market have built successful MapReduce workflows to daily process terabytes of historical data. But who wants to wait 24h to get updated analytics?
Having a sound release management plan, building servers over backups, and using Blue/Green deployments are just a few strategies that can help you manage quality.
Rethumb uses DreamObjects to handle vast amounts of image data reliably and with low latency. This article shows the technical aspects behind how it was developed.
In this article, look at how to detect if a user is active on a Windows machine in order to help deliver notifications more effectively. Read on to find out more.
Solr 5 includes a re-written faceted search and analytics module with a structured JSON API to control the faceting and analytics commands. Here’s how it works.
Check out how you can perform unit testing using two different tools for generating lots of mock data. See how these tools work separately and together.
With this post, we start a series that will provide a guide on building a fault-tolerant, scalable, microservice-based solution with Apache Ignite In-Memory Data Fabric.
Read this post and learn how you can process data from a database in parallel using parallel streams and Speedment, which can lead to significant speed increases.
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