1. Big Data is Just Hype: The general public believes that big data has been overhyped. Some feel that big data is simply the same old data in massive quantities. They argue that the notion is nothing new, except that only data scientists can read information from data.
2. All Problems Can Be Solved with Big Data: Companies assume that any analytics challenge is a big data problem. Yet not everything is a large data problem.
3. Big Data Can Predict the Future: The correct use of big data can provide some insights for future prediction; however, these insights are dependent on historical data. This implies that the insights will be based on the data that was evaluated as well as the user's needs or inquiries.
4. Big Data Is Only for Big Organizations: Many businesses feel that big data is exclusively for large corporations with large expenditures. This is why big data solutions are usually used by large corporations. Big data necessitates a significant investment in terms of both cash and labor. But, as the cost of these components falls, so will the power of these technologies, and more entrepreneurs will be able to employ them.
5. Big Data Is Better but Messy: The quantity and dependability of the data being studied determine the correctness of the insights in big data. As a result, if you examine the wrong sort of data, your findings will be incorrect as well.
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