{"id":12664,"date":"2024-01-22T07:00:00","date_gmt":"2024-01-22T15:00:00","guid":{"rendered":"https:\/\/formtek.com\/blog\/?p=12664"},"modified":"2023-11-02T17:41:55","modified_gmt":"2023-11-03T01:41:55","slug":"the-big-data-paradox-why-structured-data-still-dominates-it-spending","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/the-big-data-paradox-why-structured-data-still-dominates-it-spending\/","title":{"rendered":"The Big Data Paradox: Why Structured Data Still Dominates IT Spending"},"content":{"rendered":"\n

Big data is a term that refers to the massive amounts of data that are generated, collected, and analyzed by various organizations and industries. Big data can be classified into two types: structured and unstructured. Structured data is data that has a predefined format and can be easily stored and queried in databases, such as numbers, dates, and text. Unstructured data is data that has no fixed format and can be more complex and diverse, such as images, videos, audio, social media posts, and sensor data.<\/p>\n\n\n\n

One might expect that unstructured data would account for most of the IT spending on data management, given its rapid growth and potential value.\u00a0However, according to a recent report by IDC<\/a>, structured data still drives most of the spending on compute and storage infrastructure, with $34.7 billion in 2022. This is followed by AI lifecycle workloads, which include platforms mostly related to AI training tasks, with $4.4 billion.\u00a0Unstructured databases are still one of the smallest consumers of compute and storage infrastructure, with $2.3 billion.<\/p>\n\n\n\n

Why is this the case? There are several possible reasons:<\/p>\n\n\n\n