As computation and bandwidth power ahead exponentially, ubiquitous web and mobile platforms are generating enormous volumes of data. Cost-effective open-source software designed to handle such data mass and flow, centered on the Hadoop technology ecosystem, are opening up new horizons in computing and rapidly replacing traditional architectures.
With the rise of the Hadoop, data that was once too difficult and expensive to collect and organize can now be gathered and analyzed quickly and economically. These changes have been so cost-effective that small companies and even individuals can now afford to be players in the data analytics game. For larger companies, this shift means exciting new insights into global markets, intra-networks and the organization itself.
Hadoop and the Hadoop ecosystem are a set of Big Data tools which consist of a computing and file management platform, as well as the major components required for large-scale data-oriented tasks such as log analysis, machine learning, workflow processing, and database language and script language execution—all in open-source format. By strategically combining these elements into a single architecture, companies can build powerful platforms and get to work on understanding and connecting with markets, customers and employees.