Identifying Opportunities as an Hadoop Developer

Question: Give a literature review on identifying opportunities as an Hadoop developer . Answer: Proposal The objective of this particular research paper is evaluating all the activities, which are required in Hadoop. The literature review and the research paper are developed by adopting different kinds of research methodologies by matching the requirements of the selected topic. The most important point is to idea of the data collection method, which guides the research paper to support the investigation procedure with relevant facts as well as relevant findings. Introduction In modern generations, there is an enormous technological advancement as compared with the traditional framework (Abiteboul, 2012). The assignment will focus on all the key elements which are to emphasize on the fact about the importance of Hadoop and its different kinds of employment opportunity. In the era of modern technology, upgrades are occurring at each and every second (Jonker PetkovicÃÅ' , 2012). There are certain applications of the various kinds of data storage management system which have gained primary importance in the recent time. The literature review of the study, will emphasis on different types of key factors which will conclude about the effectiveness of the Hadoop in the industry. Literature Review The assignment is structured by following the notion of action research methodology which empowers different individuals to share their daily experiences in about Hadoop (Jonker PetkovicÃÅ' , 2012). The purpose of the action plan will investigate the study into various forms which include purpose of the assignment, stages of action research which include initial reflection, planning, action, an observation which is followed by reflection. Hadoop is the open source database system which mainly runs on computing platform which primarily used to process data. One of the most important points which need to be analyzed keeping is the fault tolerance of this particular applications (Park, 2012). One of the moist common terms is the implementation of the big data in the information technology. Data that would make too much time and the cost is very much cost effective in the overall business operations (Holmes, 2012). The applications of big data do not require any specific parameters towards evaluating the different segmentation of the various kinds of evidence. There are certain advantages as well as certain disadvantages towards the application of the Hadoop in the various sectors (Jonker PetkovicÃÅ' , 2012). However, some of the highlighted issues which are identified in the overall operations of the big data are highlighted in the following part of the assignment (Park, 2012). One of the most significant points is the data transfer rate which includes a speed of 10 MB per second, and a standard disk is made up of 1 terabyte, and the most important things are the read time which includes 10000 seconds in a duration of the 3 hours (Wiggins, 2012). Advantages and Utility of Hadoop The question may conclude what are different kinds of application of this particular technology and why it is becoming very much popular. In this generations, every firmly believes in the process of the multitasking which includes the notion of the performing more than one job at a particular point in time (Sammer, 2012). The will conclude that the application of the multiple processors to solve different questions at the same problem by fragmenting it into pieces. The key issues which are involved in this particular solution are to evaluate hardware failure, combine the data with different kinds of analysis and various types of network associated problems (Turkington, 2013). One of the key advantages which can be concluded in the process of developing a proper Hadoop is to reduce the application of different kinds of map (Wiggins, 2012). As a result, it reduces the amount of communication which can be generated by the processes as every individual in the organization will be able to process by a particular task from one another (Turkington, 2013). By developing a proper restricting system, the communication between nodes becomes distributed system very much, and it is much more reliable (Jonker PetkovicÃÅ' , 2012). However, it is an open storage framework which is designed for the application of the storage and processing of different kinds of large scale data on various types of clusters of commodity hardware (Park, 2012). Hadoop Ecosystem The Hadoop ecosystem comprises of individual applications which conclude four crucial factors. Hadoop Common, which contains a library and other modules, HDFS, which is known as Hadoop, distributed file system, Hadoop YARN, and Hadoop Map Reduce, which is a programming model for large scale data processing (Jonker PetkovicÃÅ' , 2012). However the overall method towards understanding the computation across multiple nodes where each node processes the data that is stored at that node where it mainly consists of two main phases which include map and reduce (Lee, 2012). This part of the study will concentrate on the different kinds of factors which will conclude about the various kinds of job opportunities in the industry (Latifi, 2012). The notion of the storage system is one of the key applications which majority of the industries irrespective of nature as well as the purpose of the business applies in the firm operations (Prajapati, 2013). There is an enormous scope of Hadoop as it reads data as key and value pairs. The application of Hadoop is not restricted in this field only. There are five additional factors which conclude the use of Hadoop, which includes hive, used for processing, pig used for processing and scripting, Hbase used for database model and Flume, which are designed for large scale data environment (Sarkar, 2013). Conclusion The concluding part of the assignment will evaluate the application of the Hadoop. The entire literature review is supported by different kinds of the utility of Hadoop, and it mainly describes the various services in the industries. The application of Hadoop is primarily used towards for different types of the data processing and different kinds of data storage system. The assignment is supported as well as well constructed by real and relevant examples by gathering different kinds of information from the industries. Action research format is followed towards the process of organizing this particular project. The notion of the Hadoop has provided one of the major breakthroughs in the IT industry as storage, data and data processing are the key factors which are included in the overall operations. The concept of multitasking is getting popular day by day and the application of Hadoop is getting more popularized with the process multitasking activities in IT industry. Reference List Abiteboul, S. (2012).Web data management. New York: Cambridge University Press. Continuing innovation in information technology. (2012). Washington, D.C. Holmes, A. (2012).Hadoop in practice. Shelter Island, NY: Manning. Jonker, W. PetkovicÃÅ' , M. (2012).Secure data management. Berlin: Springer. Latifi, S. (2012).Proceedings of the Ninth International Conference on Information Technology. Los Alamitos, Calif.: IEEE Computer Society. Lee, R. (2012).Computer and information science 2012. Berlin: Springer. Park, J. (2012).Information technology convergence, secure and trust computing, and data management. Dordrecht: Springer. Prajapati, V. (2013).Big Data analytics with R and Hadoop. Birmingham: Packt Publishing. Sammer, E. (2012).Hadoop operations. Sebastopol, CA: O'Reilly. Sarkar, D. (2013).Microsoft SQL Server 2012 with Hadoop. Birmingham, UK: Packt Pub. Turkington, G. (2013).Hadoop Beginner's Guide. Birmingham: Packt Pub. Wiggins, B. (2012).Effective document and data management. Farnham, Surrey: Gower.