Secondary data refers to the data which an investigator does not collect himself for his purpose rather he obtains them from some other source‚ agency or office. In other words‚ this data has already been collected by some other source and an investigator makes use of it for his purpose. Secondary data is different from primary data on the basis of the sources of their collection. The difference between the two is relative - data which is primary at one place become secondary at another place.
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discussed and all concluded that data analysis methods help us understand facts‚ observe patterns‚ formulate explanations‚ and try out the hypotheses. Not only does it help us understand facts‚ but they we also discovered that data analysis is used in science and business‚ and even administration and policy-making processes. We’ve found out the data analysis can be carried out in all fields‚ including medicine and social sciences. Once an analysis is conducted the data that is carried out is documented
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* ------------------------------------------------- Database Management System (DBMS) * Stands for "Database Management System." In short‚ a DBMS is a database program. Technically speaking‚ it is a software system that uses a standard method of cataloging‚ retrieving‚ and running queries on data. The DBMS manages incoming data‚ organizes it‚ and provides ways for the data to be modified or extracted by users or other programs. Some DBMS examples include MySQL‚ PostgreSQL‚ Microsoft Access
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Big Data Management: Possibilities and Challenges The term big data describes the volumes of data generated by an enterprise‚ including Web-browsing trails‚ point-of-sale data‚ ATM records‚ and other customer information generated within an organization (Levine‚ 2013). These data sets can be so large and complex that they become difficult to process using traditional database management tools and data processing applications. Big data creates numerous exciting possibilities for organizations‚
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YOUR OFFSHORE BACK OFFICE SERVICES Ask Datatech is one of the most popular and leading data entry and back office service providers in India which has great amount of specialization in the field of Data Management online. It is one of the noted data entry service providers in India which is based in Ahmadabad. We strive hard to meet the needs and requirements of all our clients by setting up long standing corporate relationships. We have a huge amount of industry experience which can help
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Introduction to Data Mining Assignment 1 Ex1.1 what is data mining? (a) Is it another hype? Data mining is Knowledge extraction from data this need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. So‚ data mining definitely is not another hype it can be viewed as the result of the natural evolution of information technology. (b) Is it a simple transformation of technology developed
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Data Mining On Medical Domain Smita Malik‚ Karishma Naik‚ Archa Ghodge‚ Shivani Gaunker Shree Rayeshwar Institute of Engineering & Information Technology Shiroda‚ Goa‚ India. Smilemalik777@gmail.com; naikkarishma39@gmail.com; archaghodge@gmail.com; shivanigaunker@gmail.com Abstract-The successful application of data mining in highly visible fields like retail‚ marketing & e-business have led to the popularity of its use in knowledge discovery in databases (KDD) in other industries
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Introduction 2 KNOWLEDGE MANAGEMENT VS INFORMATION MANAGEMENT 5 KNOWLEDGE MANAGEMENT CONTROVERSIES 5 POSSIBLE CONSTRAINTS IN THE IMPLEMENTATION OF A KNOWLEDGE MANAGEMENT PROGRAM 6 CASE STUDY ON THE SUCCESSFUL IMPLEMENTATION OF KM: 6 THE EVOLUTION OF KM AT BUCKMAN LABORATORIES. 6 CASE STUDY ON THE FAILURE OF KNOWLEDGE MANAGEMENT 8 ANATOMY OF A FAILED KNOWLEDGE MANAGEMENT INITIATIVE: LESSONS FROM PHARMACORP’S EXPERIENCES 8 BENEFITS OF KNOWLEDGE MANAGEMENT 9 DATA MINING 10 FACTORS INFLUENCING
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Turning Big Data Into Useful Information a Storage eBook Contents… Turning Big Data Into Useful Information This content was originally published on the CIO Update‚ IT Business Edge and Enterprise Apps Today websites. Contributors: Paul Barth‚ Seth Earley‚ Loraine Larson and Susan Hall. 2 The 4 Principles of a Successful Data Strategy 6 Transforming Information Into Knowledge 9 Building a Better Ball Team With Big Data: Lessons for Executives 11 Big Data‚ Big Opportunities for
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Systems Coursework Part 1: Big Data Student ID: 080010830 March 16‚ 2012 Word Count: 3887 Abstract Big data is one of the most vibrant topics among multiple industries‚ thus in this paper we have covered examples as well as current research that is being conducted in the field. This was done based on real applications that have to deal with big data on a daily basis together with a clear focus on their achievements and challenges. The results are very convincing that big data is a critical subject that
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