Understanding Big Data

What is Big Data?
  • Lots of Data (Terabytes or Petabytes)
  • Big Data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications.
  • Systems or Enterprises generate huge amount of data from Terabytes to and even Petabytes of information 
  • Facebook generate 500+ TBs data per day for analysis.
  • NYSE generate about 1 TB data of new trade data per day to perform stock trading analytic to determine trends for optimal trades.
  • One Airoplane per day generate  almost like Facebook data quantity.
  • Lighting or Electricity board has also lots of data per day to analytics for calculating power consumption for a particular state.

               70 % data       | 30% Structured
 Unstructured(NoSQL) |  Data (RDBMS)
Vertical Scalability       | No Vertical Scalability

Big Data Technologies

1. Operational Big Data-
System that provide operational capabilities for real time interactive workload where data is primarily captured and stored. (MongoDB)

2. Analytical Big Data-
System that provide analytical capabilities for retrospective, complex analysis that may touch most of all the data. (Hadoop)

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