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An Overview of Big Data Analysis
Data is the quantities, characters, or symbols on which operations are performed by a computer, which may be stored and transmitted in the form of electrical signals and recorded on magnetic, optical, or mechanical recording media.
Rise of Data’s in Recent Days
In early 90’s, we are up to Megabyte range but in recent days we are reaching towards Exabyte(1000⁶) & Zettabyte (1000⁷), Within two decades there is a drastic change in the data range . These data's exist in three different types which are stated below.
- Structured Data: Data which exist in fixed format like tabular format with rows and columns (e.g., RDBMS).
- Semi-Structured Data: Data which doesn't have any formal data model (e.g., XML)
- Unstructured Data: Data doesn’t have predefined model (e.g., Text files)
Probably data will be in the form of semi-structured and unstructured data.
Why we need Big Data?
Nowadays 80% of data belong to unstructured type, these data’s are very large and complex to process with traditional Database and software techniques whereas Big data has the ability to manage , process and analyse huge data with cost-efficient and it’s capable to turn data in to actionable insight.