Big data
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Big data

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It contains overview about Big data and also contain some details regarding Big data

It contains overview about Big data and also contain some details regarding Big data

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Transcript

  • 1. •Volume •Velocity •Veracity •Variety •Value
  • 2. •MEGA BYTE •GIGA BYTE •TERA BYTE •PETA BYTE •EXTRA BYTE •ZETTA BYTE
  • 3. •Collect •Discover •Process •Manage •Generate
  • 4. •How to handle Heterogeneity •Scalability (volume) •Structured / Semi structured/ Unstructured data handling •Timeliness response •Handle privacy and security issues
  • 5. •Development of analytics •Design & develop appropriate data models •Developments of tools •Creating Data warehouse & Mining techniques •Business intelligence •Storage consideration
  • 6. •Variety of Formats •Ambiguity of Data •Abstracted layer of Hierarchy •Lack of Meta Data
  • 7. •Finding patterns • Deriving meaning • Making decisions • Responding to the world with intelligence
  • 8. •Lexical Analysis •Syntactic Analysis •Semantic Analysis •Sentimental Analysis
  • 9. •Big Table •Business Intelligence •Cassandra •Hadoop and MapReduce •R
  • 10. •Deals with extracting information from data •Use this information to predict outcomes •Find patterns that predict similar outcome in future
  • 11. •Hadoop and Mapreduce •Integrating R and Hadoop •Tools like RHIPE and RHadoop
  • 12. By combining capability of Hadoop and R by using Rhadoop tool the performance and accuracy of data analytics can be increased
  • 13. THANKS
  • 14. Queries ?