case of failure of the data nodes, the name node knows which data node has failed since that particular data node will not report back in time to the name node. The name node also knows where the data that is supplied to the data node has gone redundantly to the other data node. Therefore the job still goes to completion even though a couple of data nodes fail in the big data processing. Since the Hadoop MapReduce framework is master-slave architecture there is a chance of single point failure. The
2. Methods 2.1 Data acquisition 2.1.1 Hardware The data acquisition was based on the miPod sensor called inertial-magnetic measurement unit containing a MPU9150 chip with a three-dimensional accelerometer, gyroscope and magnetometer. The miPod IMMU was manufactured in such a way that it is attached to each skateboard and in a stable condition (see Fig. 2). Video acquisition was done using a GoPro Hero 2 camera. Furthermore, a Vicon MX motion capture system with 16 cameras used for referencing
Abstract— Data mining, also popularly known as Knowledge Discovery in Database, refers to extracting or “mining" knowledge from large amounts of data. Data mining techniques are used to operate on large volumes of data to discover hidden patterns and relationships helpful in decision making. Many application areas such as medical, research, stock market, weather forecasting, business strategies…etc data mining is very much helpful to gain the hidden and useful information. Nowadays the universities
Indiana University Health – A Cerner data warehouse in 90 days - Case Study http://www.healthcatalyst.com/success_stories/how-to-deliver-healthcare-EDW-in-90-days/?utm_medium=cpc&utm_campaign=Data+Warehouse&utm_source=bing&utm_term=+data%20+warehousing%20+case%20+study&utm_content=3542719787 Name: Goutham Para Provide brief but complete answers. One page maximum (print preview to make sure it does not exceed one-two pages). Q1: Describe the original data warehouse designed for Indiana University
Case Study: A Data Warehouse for an Academic Medical Center Jonathan S. Einbinder, MD, MPH; Kenneth W. Scully, MS; Robert D. Pates, PhD; Jane R. Schubart, MBA, MS; Robert E. Reynolds, MD, DrPH ABSTRACT The clinical data repository (CDR) is a frequently updated relational data warehouse that provides users with direct access to detailed, flexible, and rapid retrospective views of clinical, administrative, and financial patient data for the University of Virginia Health System. This article presents
Study on Popular Data Mining Algorithms/Techniques Abstract: Data mining algorithms determine how the cases for a data mining model are analyzed. Data mining model algorithms provide the decision-making capabilities needed to classify, segment, associate and analyze data for the processing of data mining columns that provide predictive, variance, or probability information about the case set. With an enormous amount of data stored in databases and data warehouses, it is increasingly important to
5. CASE STUDY: Frankfurt Airport and big data The case study illustrates how Frankfurt Airport uses big data to improve their passenger experience and business performance. Big Data is often used as a blanket term referring to the collection of data sets so large and complex that it becomes difficult to process them using traditional database management tools or data processing applications. In the airport world, the amount of data is actually not as big as in other industries, but the complexity
Spatial Data Warehouse Geographic Information System information makes up spatial data. Sharing spatial information is necessary. The biggest drawback of spatial data warehouse surrounds the data retrieval. Diverse ideas have been put forward on the correlation between spatial objects and their directions. When modeling the directions of spatial data in datasets, several steps are involved. The method of approximation of the spatial objects is made. This is helpful in the determination of the best
In this paper I am going to share my last company NTT DATA GLOBAL DELIVERY SERVICES LTD’s tactics, strategies, operations and management and its usage of analytics in the global market to achieve its goals. In this competitive world, many of the former industry’s strategic alternatives are no longer viable or likely to be successful. Today, there are few regulated monopolies, or companies with unique geographical access. Proprietary technologies are rapidly copied by competitors, and breakthrough
Encrypted Data Management with Deduplication in Cloud Computing Hariharan.R1, Pourselvan.M1 and Hema Sundari.S1 guided by prof. Sudheer.K 1 1 vit university, site school, mca department, vellore , Tamil nadu , india - 632014 Abstract: Cloud computing plays an important role in supporting data storage, processing, and management in the Internet of Things (IoT). To preserve cloud data confidentiality and user privacy, cloud data are often stored in an encrypted form. However, duplicated data that