I admit that I am not the best person to ask about earth’s formation according to science. I have had my share of sleepless nights and severe headaches trying to understand the celestial bodies, laws of motion and the vast universe. This is also the reason why I pay high regards to the likes of Einstein and Newton—they unleashed discoveries that my mind could not decipher–not in million light years. Lucky for the younger generation, there is now what we call big data analysis that could actually provide simulations on scientific phenomenons, such as the formation of the Milky Way. Watch a cool video showing a time-lapsed formation of the galaxy here.
You would wonder how these brilliant minds were able to create something as astonishing as this. Simple: big data analysis of stars and stellar behavior. The vague definition of big data is gradually making itself clear, though it’s finding varied definitions based on its niche appeal. What helps the term become more decipherable is the benefits that human race may draw from it. Many are starting to realize the significance of big data in various fields in the interesting sphere of science—an oasis of overflowing information.
IBM’s vision of modern day warriors, data scientists, is that they will be professionals that will understand the trends of big data and will leverage its analytics power. We know of big data as a tunnel of vast opportunities for IT enterprises to build next level solutions, and monetize it. In fact, Kristen Nicole reports that big data has the capability to even foretell success of business ventures. Little did we know that a branch of science and as complex as astrophysics is something that big data analysis can also champion. But we’re glad it’s being put to work across so many fascinating fields, helping us all to visualize the past, present and future.
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