Over the years, there have been a lot of changes in how big data is handled and collected.
Here are some examples of how people benefit from data storage in their daily lives.
By recording cycle dates, moods, sleep, water, and more, the popular Flo app leverages data science to estimate a woman's menstrual cycle and track reproductive health. Data scientists use tools like Python and Jupyter's Notebook to mine this amount of anonymized data behind the scenes. Speaking from experience, Flo does indeed help in my monthly period! :D
When you're watching a video on YouTube, have you noticed your suggestions? It frequently suggests videos with similar content. The same goes when we order something online, the site uses information from previous orders or searches to make popular recommendations, thus building a pattern.
Food delivery apps do indeed have a straightforward goal: to deliver hot food swiftly. However, achieving this across the land necessitates the use of machine learning and complex statistical modeling. To optimize the entire delivery process, the team must forecast how every possible event, such as storms and holiday surges, will affect traffic and cooking times.
To bring our conversation to a close, big data is crucial because it retains information and personalizes adverts and recommendations, making future internet use easier and more relevant to our interests.
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