{"id":177043,"date":"2022-06-16T10:48:41","date_gmt":"2022-06-16T05:18:41","guid":{"rendered":"https:\/\/www.jigsawacademy.com\/?p=177043"},"modified":"2022-06-23T17:44:42","modified_gmt":"2022-06-23T12:14:42","slug":"blogs-big-data-analytics-types-of-big-data","status":"publish","type":"post","link":"https:\/\/www.jigsawacademy.com\/blogs\/big-data-analytics\/types-of-big-data","title":{"rendered":"Types Of Big Data: Simplified (2022)"},"content":{"rendered":"\r\n

Introduction<\/strong><\/h2>\r\n\r\n\r\n\r\n

Big data means\u00a0it is a gigantic measure of data sets that can’t be analysed, processed, or stored utilising traditional tools.<\/p>\r\n\r\n\r\n\r\n

Today, there are a huge number of types of big data sources that produce data at a quick rate. These data sources are available across the world. The absolute biggest wellsprings of data are social media networks and platforms. We should utilise Facebook as an illustration. It creates an excess of 500 terabytes of data consistently. This data incorporates messages, videos, pictures, and so on. The\u00a03 “V”s of big data\u00a0are Volume, Velocity, and Variety.<\/p>\r\n\r\n\r\n\r\n

\"Desktop \"Mobile<\/a><\/p>\r\n\r\n\r\n\r\n

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  1. Structured Data<\/a><\/strong><\/li>\r\n
  2. Unstructured Data<\/a><\/strong><\/li>\r\n
  3. Semi-Structured Data<\/a><\/strong><\/li>\r\n
  4. Subtypes of Data<\/a><\/strong><\/li>\r\n
  5. Interacting with Data Through Programming<\/a><\/strong><\/li>\r\n
  6. Advantages of Big Data<\/b><\/a><\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

    1. Structured Data<\/strong><\/h2>\r\n\r\n\r\n\r\n

    Any data that can be processed, accessed and stored as a fixed format is named structured data. Throughout some period, ability in software engineering has made more noteworthy progress in creating techniques for working with such sort of data and inferring an incentive out of it. Notwithstanding, these days, we are anticipating issues when the size of such data develops to an enormous degree, average sizes are being in the fury of various zettabytes.<\/p>\r\n\r\n\r\n\r\n

    Structured data in big data is the most straightforward to work with. Structured data is a type of big data that is profoundly coordinated with measurements described by setting parameters.<\/p>\r\n\r\n\r\n\r\n

    It’s all your quantitative data:\u00a0<\/p>\r\n\r\n\r\n\r\n

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    1. Address<\/li>\r\n
    2. Debit\/credit card numbers<\/li>\r\n
    3. Age<\/li>\r\n
    4. Expenses<\/li>\r\n
    5. Contact<\/li>\r\n
    6. Billing<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

      \"Desktop \"Mobile<\/a><\/p>\r\n\r\n\r\n\r\n