Big Data Analysis Introduction:
Big data analytics is the process of examining large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits.
Overview Of Big Data Analysis Job Support:
The Apache Hadoop is an software solution for the distributed computing of large datasets. The Hadoop provides an distributed filesystem (HDFS) and an Mapreduce implementation.
The special computer acts as the name node. This computer saves the information about the available clients & the files. The Hadoop clients ( or the computers) are called nodes. The name node is currently an single point of failure. The Hadoop project is working on the solutions for this.
The Apache Hadoop can be used to filter & aggregate data, for e.g. an typical use case would be the analysis of the web server logs file to find the most visited pages. But the MapReduce has been use to transverse the graphs & the other tasks.