Bigdata Analytics in Industrial IoT

Abstract

In IoT, technology is on an gradually developed both in terms of software and hardware. The high speed with which humans interact with the internet, use social media and interconnect their devices with another device is growing quickly. Due to the interaction between machine to human and machine to machine communication the massive amount of data will be generated and to store this generated data in the database becomes more difficult to store, manage, process and analyses. The data management is a biggest problem in IoT due to the connectivity of billions of devices, objects which are generating big data. With the help of big data technology we can handle that data. However due to the nature of Bigdata it has become important challenge to achieve the real-time capability using the traditional technologies. Big data is some technologies to capture, manage, store, distributed and analyses petabyte or larger sized datasets with highest velocity and different structure. Hadoop is a best platform for structuring Bigdata. It is a best tool for data analysis as it works for distributed big data, Time stamped data, structured, unstructured and semi-structured data, streaming data, text data etc. This paper represents the layer architecture of big data system. In addition, how to use FLUME and HIVE tool for data analysis. For NoSQLdatabse we use Hive which is SQL like query language is used for some analysis and extraction. Flume is used to extract real time data into HDFS.