Configuring Hadoop for nonprofits and government organizations
Nonprofit and government organizations both aim to use their resources in the most cost-effective way while maximizing objective improvement in some aspect of people's lives. They are held accountable by investors and constituents to deliver actionable results and must deploy their intelligence through productive, pertinent modalities. One of the benefits of Apache Hadoop is making data meaningful by building directed applications for its distribution. The open-source history of Hadoop conveys the general sentiment that big data has little meaning on its own, and it's necessary to develop systems through which to harness and clarify it.
Recently, the Harvard Business Review considered the importance of 'medium data' for nonprofit organizations. The article argued that in this sense, 'medium data' is information which is structured alongside an organization's core issues and objectives. 'Medium' has more than one meaning, however. A medium can also be the ambient manner in which one can convey information or interpret insights, to echo media theorist Marshall McLuhan's well-known observation that "the medium is the message." Medium data doesn't have to end up meaning that an organization cuts itself off from data inputs at a certain time once some arbitrary capacity has been reached – it means that information must go hand-in-hand with the organization's plans to make it actionable. This liberates both data collection and possible uses from the abstract realm and ensures that information contributes directly to the levereagable message.
Using Hadoop architecture to improve cities
Government organizations can also utilize strategies outlined in Hadoop tutorials for improvements to cities. Government Technology recently evaluated the efficacy of 'medium data' for improving the functionality and infrastructure of cities. Once again, viewing this 'medium data' through a dual definition of 'medium' proves fruitful, as organizations that closely align the scope of their data with the content of their actionable strategies will be able to benefit from big data without being overwhelmed by it. Data is especially crucial in city planning because any change has a widespread impact. With structured data, cities can be more adroitly developed and specific issues can be more saliently addressed within the big picture.
Many urban planners have deployed Hadoop clusters to mine big data, and have used their findings to improve governmental efficiency and benefit relations between city officials and residents, counting on the fact that Apache Hadoop promotes systemic consolidation in order to increase the scope and power of decision-making.