Oracle Big Data Characteristics are as follows:
- Volume
- Velocity
- Variety
- Value
Volume: Machine-generated data is produced in much larger quantities than non-traditional data. For instance, a single jet engine can generate 10TB of data in 30 minutes. With more than 25,000 airline flights per day, the daily volume of just this single data source runs into the Petabytes. Smart meters and heavy industrial equipment like oil refineries and drilling rigs generate similar data volumes, compounding the problem.
Variety: Traditional data formats tend to be relatively well defined by a data schema and change slowly. In contrast, non-traditional data formats exhibit a dizzying rate of change. As new services are added, new sensors deployed, or new marketing campaigns executed, new data types are needed to capture the resultant information.
Value: The economic value of different data varies significantly. Typically there is good information hidden among a larger body of non-traditional data; the challenge is identifying what is valuable and then transforming and extracting that data for analysis.
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