1. 传统数据:
传统数据是结构化数据,主要由从小到大的所有类型的企业维护。在传统数据库系统中,一种集中式数据库架构,用于以固定格式或文件中的字段存储和维护数据。使用结构化查询语言 (SQL) 来管理和访问数据。
2. 大数据:
我们可以将大数据视为传统数据的上层版本。大数据处理过大或复杂的数据集,传统数据处理应用软件难以管理。它处理大量结构化、半结构化和非结构化数据。 Volume、Velocity 和 Variety、Veracity 和 Value 是指大数据的 5’V 特征。大数据不仅是指大量的数据,它是指通过分析海量复杂的数据集,提取出有意义的数据。
传统数据与大数据的区别:
S.No. | TRADITIONAL DATA | BIG DATA |
---|---|---|
01. | Traditional data is generated in enterprise level. | Big data is generated in outside and enterprise level. |
02. | Its volume ranges from Gigabytes to Terabytes. | Its volume ranges from Petabytes to Zettabytes or Exabytes. |
03. | Traditional database system deals with structured data. | Big data system deals with structured, semi structured and unstructured data. |
04. | Traditional data is generated per hour or per day or more. | But big data is generated more frequently mainly per seconds. |
05. | Traditional data source is centralized and it is managed in centralized form. | Big data source is distributed and it is managed in distributed form. |
06. | Data integration is very easy. | Data integration is very difficult. |
07. | Normal system configuration is capable to process traditional data. | High system configuration is required to process big data. |
08. | The size of the data is very small. | The size is more than the traditional data size. |
09. | Traditional data base tools are required to perform any data base operation. | Special kind of data base tools are required to perform any data base operation. |
10. | Normal functions can manipulate data. | Special kind of functions can manipulate data. |
11. | Its data model is strict schema based and it is static. | Its data model is flat schema based and it is dynamic. |
12.. | Traditional data is stable and inter relationship. | Big data is not stable and unknown relationship. |
13. | Traditional data is in manageable volume. | Big data is in huge volume which becomes unmanageable. |
14. | It is easy to manage and manipulate the data. | It is difficult to manage and manipulate the data. |
15. | Its data sources includes ERP transaction data, CRM transaction data, financial data, organizational data, web transaction data etc. | Its data sources includes social media, device data, sensor data, video, images, audio etc. |