Industrial large data set using hadoop

The data analysis of the Industrial Large Scale has attracted widespread research interest from both academics and industry. According to the McCanedy Center report, the successful use of Large Scale industrial data has the potential benefits of transforming the economy, as well as bringing about a new wave of successful growth. In recent times, Large Scale data and business analysis methods have been developed and used to analyze large amounts of data generated by different business organizations. Therefore, every business needs a quick understanding of the growing volume of transaction data. The real-time data analysis helps organizations look to the past and anticipate the future. This is the beauty of broadcast analysis and is given to know what happened descriptive, to understand why it happened to diagnose, to look forward to what might predict and, ultimately, to determine how it could affect future events predictions. These four analytical flavors have great business benefits but are gradually increasingly difficult to use and implement.Although manufacturers have been producing highly distributed data from a variety of systems, devices and applications, many challenges in both data management and data analysis require new ways to support the Big Scale data era.