In today’s society, it is considered the common practice to distribute your business technology operations in an effort to maximize your potential return, whether that be tangible or intangible assets. This process is not merely separating a company into parts but also paving the path for exponential growth.

Data mining is the practice of gathering and examining large databases to produce new information and predict future outcomes. Modern businesses rely on massive amounts of data, so much so that an IDG survey of 70 IT and business leaders recently found that 92% of respondents want to deploy advanced analytics more broadly across their organizations. This post will discuss some of the benefits of data mining that these leaders saw within their organizations.

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Spark,Mesos, Akka, Cassandra, Kafka, Kubernetes? If you don’t already know what these mean and you have no goal or objective to make software that works at a global level, then you don’t need to be reading this article at all. Seriously, it’ll be a waste of your time. These technologies, now open sourced, originated from the extremely high-end university research laboratories of the University of Berkeley and the halls of high-tech companies such as Google, Twitter, LinkedIn, and Facebook. They were built for different purposes for their creators but now being available to the public, they have been flourishing on their own in the wild ether of the Internet. Why would any CIO, CTO, CMO, or a CEO consider these technologies?

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Node.js is a JavaScript runtime that is fast, easy to learn, and has an enormous package library.  It is built on top of the Chrome V8 Engine, which uses an asynchronous event-driven model that can be used for creating scalable web applications.  So, why use it for ETL operations? Continue reading →

Bad

1. Bad ETL (extract, transform, load) projects are ones that don’t have a strategy for different types of information or lack of knowledge management on how to add/remove different data sources, add/remove processors & translators, and add/remove different sinks of information.
2. It doesn’t necessarily have to be on any particular platform, just that it has structure.. just as any software should have.. an architecture.

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