Apache

Designing systems integration architecture can be a difficult task. And it gets worse if you're designing for software at scale. An enterprise service bus can be one way of working around the challenges. But this is definitely not the simplest of solutions. In this article, Toptal Freelance Software Engineer Anton Goncharov gives us a detailed overview of the challenges of systems integration and a guide to addressing those challenges with Apache Camel.

Social networks are among the biggest sources of data today, and this means they are an extremely valuable asset for marketers, big data specialists, and even individual users like journalists and other professionals. Harnessing the potential of real-time Twitter data is also useful in many time-sensitive business processes. In this article, Toptal Freelance Software Engineer Hanee' Medhat explains how you can build a simple Python application to leverage the power of Apache Spark, and then use it to read and process tweets to identify trending hashtags.

In this post, Toptal engineer Radek Ostrowski introduces Apache Spark—fast, easy-to-use, and flexible big data processing. Billed as offering "lightning fast cluster computing", the Spark technology stack incorporates a comprehensive set of capabilities, including SparkSQL, Spark Streaming, MLlib (for machine learning), and GraphX. Spark may very well be the "child prodigy of big data," rapidly gaining a dominant position in the complex world of big data processing.