Data Essay

INTRODUCTION Duplicate data is defined as the existence of data in several records which is also known as redundancy. The definition has different interpretations. Data warehouse contains voluminous data for mining and analyzing it for better decision making process. In any data warehouse, data comes from n number of sources and hence the result is increase in data and the duplication of data. In order to clean the data, data preprocessing is done which includes data cleaning, data integration, reduction

Data is being produced at a huge rate and 90% of the data which exists today were produced in the last two years. Thus, it is difficult to manage big data which are extremely large, structured/ unstructured data sets analyzed to find trends, associations, reports, etc. The biggest challenge today is to find the quickest and the most inexpensive tool to analyze the big data which consists of emails, videos, pdf, audio files, and tweets. Predicting future with being able to access and store real time

Data Warehousing and Data Mining Data Warehousing also known in many industries as an Enterprise Data Warehouse is a system that contains a central repository of integrated data, often collected from multiple sources and is used to perform data analysis enabling the creation of detailed reports that contribute significantly to a corporation’s business intelligence. Data Warehousing emerged as a result of advances in the field of information systems over the last several decades. There are two major

Data Warehousing and Data mining December, 9 2013 Data Mining and Data Warehousing Companies and organizations all over the world are blasting on the scene with data mining and data warehousing trying to keep an extreme competitive leg up on the competition. Always trying to improve the competiveness and the improvement of the business process is a key factor in expanding and strategically maintaining a higher standard for the most cost effective means in any

Abstract— Data Mining extracts useful information about data. In other words, Data Mining extracts the knowledge or interesting information from large set of structured data that are from different sources. Data mining applications are used in a range of areas such as it is used for financial data analysis, retail and telecommunication industries, banking, health care and medicine. In health care, the data mining is mainly used for disease prediction. In data mining, there are several techniques

Data Warehouses and Data Marts: A Dynamic View file:///E|/FrontPage Webs/Content/EISWEB/DWDMDV.html Data Warehouses and Data Marts: A Dynamic View By Joseph M. Firestone, Ph.D. White Paper No. Three March 27, 1997 Patterns of Data Mart Development In the beginning, there were only the islands of information: the operational data stores and legacy systems that needed enterprise-wide integration; and the data warehouse: the solution to the problem of integration of diverse and often redundant

Data Mining in Big Data Vishesh Shukla Department of Computer Science University of Technology and Management Shillong, India shukla.vishesh07@gmail.com Saurav Utkarsh Department of Computer Science University of Technology and Management Shillong, India saurav.utkarsh@stu.utm.ac.in Sahil Mittal Department of Computer Science University of Technology and Management Shillong, India tousif.raza@stu.utm.ac.in Abhishek Kumar Department of Computer Science University of Technology and Management

Introduction The data collection company has a huge collection of data generally goes into terabytes. Data warehouse is the only option Though not much structured like relational databases but when used in line with them, data warehouse turns out to be a huge help. Every moment, a single page visit generates thousands of records to be saved. Data may get outdated but it cannot be deleted as few months down the line, it will be used for analysis. This analysis generated future prospects of business

Introduction Data, Data everywhere. It is a precious thing that will last longer than the systems. In this challenging world, there is a high demand to work efficiently without risk of losing any tiny information which might be very important in future. Hence there is need to create large volumes of data which needs to be stored and explored for future analysis. I am always fascinated to know how this large amount of data is handled, stored in databases and manipulated to extract useful information

this technology will grow radically in next few years. Data warehouse: Data warehousing is an efficient system which store the past as well as current data used for creating reports. Data warehousing system is used for decision making by analyzing the reports. A data warehouse is a relational database, which is designed for analysis and query. It helps an organization to consolidate and analyze data from different sources and make decision. A data warehouse environment consists of OLAP (On-Line Analytical