Data Analysis And Data Of Data

3069 Words Jan 7th, 2015 13 Pages
Executive Summary Big Data is garnering great recognition for its data-driven decision making methodology. Right from data acquisition where there is a flood of data available, we need to make effective decisions about usage of data. Privacy, scalability, complexity and timeliness are the problems that hinder the progress of Big Data. Today, most of the data available is not obtained in a structured format; therefore data transformation for analysis is a major objection. Data integration is also a critical aspect since most of the data is generated in a digital format. It is a challenge to establish linkage of data. Analyzing data, retrieving it and organizing it to suit our business needs is a crucial part of Big Data Analytics (BDA). …show more content…
Introduction Big Data Analytics is the process of analyzing large amounts of raw information generated and stored. In today 's fast paced technologies, we are inundated with in a tsunami of data before us. All applications, in a broader range are depending on data in a remarkable way. BDA is driving almost every field in our society from Retail, Manufacturing and Mobile applications to life and physical sciences. The Data Analytics techniques are performed to uncover hidden patterns, unknown correlations and other useful information. Earlier, Data Analytics were based on guessing and inaccurate data models but currently this can be done directly. Big Data has truly revolutionized scientific research (Computing Research Association 2014). Let us illustrate this with an example. Historically, Astronomers have been taking images of the sky manually and storing it for future usage. But, today with the advent of Big Data techniques, images are stored in a huge database and Astronomer’s can find numerous pictures readily and analyze from this database for their research. In the field of bio informatics and biological sciences, data scientists are depositing scientific data into a public repository/database for other scientist’s usage across the globe. As technology is growing boundlessly, the advances in sequencing, size and number of data sets is

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