{"id":6024,"date":"2023-10-18T14:47:43","date_gmt":"2023-10-18T14:47:43","guid":{"rendered":"https:\/\/royadata.io\/blog\/?p=6024"},"modified":"2023-10-18T14:47:43","modified_gmt":"2023-10-18T14:47:43","slug":"big-data-statistics","status":"publish","type":"post","link":"http:\/\/royadata.io\/blog\/big-data-statistics\/","title":{"rendered":"Big Data Statistics 2023: How much big data is there?"},"content":{"rendered":"
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The term Big Data has been in existence since the 1990s but was not largely heard and utilized until 2005 when Roger Mougalus from O’Reilly Media created the name. With the rise in technology usage such as mobile phones, IoT devices, and autonomous devices such as robots, the rate at which data is being generated daily has resulted in Big Data.<\/p>\n<\/blockquote>\n

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Big Data is a copious amount of data generated daily from various sources. These data are way too difficult to be processed with just any traditional data processing application tool or on-hand database system tools. And this is because there is too much data to process.<\/p>\n

Before now,\u00a0 data was not as enormous beyond what the traditional tool could handle, but now, with the advent and enhancement of several programs, data has been on a constant increase which will require some advanced tools to break the data into smaller chunks for proper and easy utilization. Some of these tools include Hadoop, Spark, Hive, and Apache Hbase amongst others.<\/p>\n

Statistics have shown that most of the fortune 1000 business today sources their information from Big Data. Before data can be classified as Big Data there are 5Vs that come to play, which are Volume, Variety, Velocity, Veracity, and Value. And with these comes several tools to help organize these data into structured, unstructured, and semi-structure.<\/p>\n

If you are a business owner seeking to know how huge and the general statistics related to Big Data then this article has been written for you. Below are some of the key statistics related to Big Data you need to be aware of.<\/p>\n\n

<\/span>Key Big Data<\/strong>Statistics in 2023<\/strong><\/span><\/h2>\n

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