Big Data Processing with Hadoop Map-reduce
نویسندگان
چکیده
The amount of data in our world has been exploding, and analyzing large data sets—so-called big data—will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus. The increasing volume and detail of information captured by enterprises, the rise of multimedia, social media, and the Internet of Things will fuel exponential growth in data for the foreseeable future. In the last two years, a large amount of data has been generated. There has been a shift in the architecture of data-processing systems today, from the centralized architecture to the distributed architecture. Enterprises face the challenge of processing these huge chunks of data, and have found that none of the existing centralized architectures can efficiently handle this huge volume of data .Several solutions have been emerged to solve the big data problem such as Google developed Map Reduce to support distributed computing on large data sets on computer clusters, which is now available open-source in Hadoop. Big Data Processing With Hadoop Map-Reduce Paper ID IJIFR/ V2/ E9/ 025 Page No. 3099-3108 Research Area Big Data
منابع مشابه
A Survey on Accelerated Mapreduce for Hadoop
Big Data is defined by 3Vs which stands for variety, volume and velocity. The volume of data is very huge, data exists in variety of file types and data grows very rapidly. Big data storage and processing has always been a big issue. Big data has become even more challenging to handle these days. To handle big data high performance techniques have been introduced. Several frameworks like Apache...
متن کاملImplementation of image processing system using handover technique with map reduce based on big data in the cloud environment
Cloud computing is the one of the emerging techniques to process the big data. Cloud computing is also, known as service on demand. Large set or large volume of data is known as big data. Processing big data (MRI images and DICOM images) normally takes more time. Hard tasks such as handling big data can be solved by using the concepts of hadoop. Enhancing the hadoop concept will help the user t...
متن کاملCloud Computing Technology Algorithms Capabilities in Managing and Processing Big Data in Business Organizations: MapReduce, Hadoop, Parallel Programming
The objective of this study is to verify the importance of the capabilities of cloud computing services in managing and analyzing big data in business organizations because the rapid development in the use of information technology in general and network technology in particular, has led to the trend of many organizations to make their applications available for use via electronic platforms hos...
متن کاملAddressing Big Data with Hadoop
Nowadays, a large volume of data from various resources such as social media networks, sensory devices and other information serving devices are produced. This large collection of unstructured, semi structured data is called big data. The conventional databases and data ware houses can’t process this data. So we need new data processing tools. Hadoop addresses this need. Hadoop is an open sourc...
متن کامل