Needing an Infrastructure for Big Data

Anytime there is need to handle data, there is a need for an underlying infrastructure. The data needs to be gathered, organized, stored, processed, and used. In the case of big data, a particular infrastructure is needed, and it often involves tools like Hadoop, Hive, Spark and visualization software. The basic elements are the same as any data, but the tools and capacity are different. Without a proper infrastructure, big data will lose some or all of it value.  Some more detailed thoughts can be found in this article.