06-03-2013, 10:21 AM
DATA ARRANGEMENT
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INTRODUCTION :
Data arrangement is all about arranging of big data properly as in all organization there is a lot of data movement so, its arrangement becomes necessary.
STEPS OF DATA ARRANGEMENT:
1. Extraction of data from various data sources .
2. Removal of noise.
3. Data aggregation.
4. Storage in database system, data warehouse etc.
5. Representation of data.
DEFINATION:
Data arrangement is a multidisciplinary field, drawing work from areas including database technology, machine learning, statistics, pattern recognition, information retrieval, neural networks, knowledge-based systems, artificial intelligence, high-performance computing, and data visualization. This technique for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability.
RELATIONAL DATABASE ARRANGEMENT:
The arrangement of data in the form of rows and columns is done through relational database system, it is the most widely used method of data arrangement in which data is stored in tabular form so its access becomes easier. There are various database systems available which understand the structured query language (SQl) for their data retreival and insertion.
Conclusion:
Data arrangement is basically done so that its retrieval becomes easier and can be easily understandable by its operator or manager, proper arrangement of data leads to proper knowledge generation and thus leads to wisdom.