We recently built an analytics platform for a startup company whose mobile game acts as a digital advertising platform while providing rewards and instant winning experiences to its users.
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Delivering actionable insights in real time by moving from batch to stream processing: a digital media case study
In early 2016 one of our online media customers came to us with a problem. Our customer, a media giant, hosts articles from its newspapers and magazines on its websites. Each of the articles’ web pages has three ad blocks, and the customer buys paid redirects to the article pages.
The retail industry is embracing big data, analytics, and machine learning (ML) to improve customer engagement, optimize operations, and drive sales. Increasingly, we’re seeing business intelligence systems that were once based on
In this blog post we share our experience delivering deduplicated data during In-Stream Processing for a large-scale RTB (real time bidding) platform. A common problem in such systems is the existence of duplicate data records that can cause false results when processed by the analytic queries.
In the previous blog post we went through the details of how to set up the Docker infrastructure with Mesos and Marathon, and how to bootstrap the environment to get it ready to host application services. Now it is time to deploy some applications.
In this post we’ll focus on more details of Mesos and Marathon, and provide you with scripts to provision the complete computational environment on any cloud of your choice.
Post 5: DevOps stack for In-Stream Processing Service using AWS, Docker, Mesos, Marathon, Ansible and Tonomi
This post is about the approach to the “DevOps” part of our In-Stream Processing blueprint — namely, deploying the platform on a dynamic cloud infrastructure.
From reference architecture to reference implementation: detailing the DevOps aspects of In-Stream Processing Service
In the previous four blog posts in this series we covered the reference architecture of a general purpose In-Stream Processing Service blueprint.
This post contains a brief survey of better-known products related to In-Stream Processing that are available on the market at the time of this writing. In this survey, we focus specifically on critical architectural differentiations.