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BIG DATA ANALYTICS
By: Subramanyam Gunda
What’s Big Data:
• Big data is a term for data sets that are complex then traditional data processing
application software. Big data challenges include capturing data, data storage, data
analysis, search, sharing, transfer, visualization, querying, updating and information
privacy.
• Big data usually includes data sets with sizes beyond the ability of commonly used
software tools to capture, curate, manage, and process data within a tolerable
elapsed time.
• Big Data philosophy covers unstructured, semi-structured and structured data.The
main focus is on unstructured data.
Source:Wikipedia
Big Data Structure:
DATA STRUCTURES
“Unstructured”
Quasi structured
Semi
structured
Structure
d
NOTES
• Data hat has no inherent structure. Stored as different file types.
Examples: pdf, images etc.
• Textual data with inconsistent data formats. Examples: Web
click stream data.
• Text data with a discernable pattern, enabling parsing. Example:
XML data files that are self describing.
• Data with a defined data type, format. Example:Transaction
data.
Source: EMC proven professional

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Big data analytics data structure

  • 1. BIG DATA ANALYTICS By: Subramanyam Gunda
  • 2. What’s Big Data: • Big data is a term for data sets that are complex then traditional data processing application software. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy. • Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time. • Big Data philosophy covers unstructured, semi-structured and structured data.The main focus is on unstructured data. Source:Wikipedia
  • 3. Big Data Structure: DATA STRUCTURES “Unstructured” Quasi structured Semi structured Structure d NOTES • Data hat has no inherent structure. Stored as different file types. Examples: pdf, images etc. • Textual data with inconsistent data formats. Examples: Web click stream data. • Text data with a discernable pattern, enabling parsing. Example: XML data files that are self describing. • Data with a defined data type, format. Example:Transaction data. Source: EMC proven professional