All You Need to Know About Big Data

Introduction

Computer science no longer deals with only computers and its application. In recent times it has become a vast topic which includes a variety of subjects from astronomy to medical, from machine to management, everything is related to computer application. What is common among all these fields and how are they related to computer science? Answer is data. The big data that every subject has and can be analysed for the benefits of mankind using computer based technology. Our computer scientists are working closely with scientists of other branches to harness data and give breakthrough results in this field.

 How to use it ?

Now experts are trying to understand this data so that they can find connections between things which are not connected in the physical world. Technology has led to vast storage of data which experts can organize, examine, explore and can store it for future use. According to Marican Hoof, to store multiple data, no transistor required will increase in the coming time, as data is increasing everyday. However the invention of microprocessors has decreased the use of transistors.  This is a big evolution in the field of data science.

The first and second paradigm methods involve exploring science and making new discoveries or performing new experiments.The fourth paradigm involves long vision, how to manipulate and use these data to solve global problems. Science has taken a steep turn after the Einstein theorem. By the 20th century the third  paradigm has evolved. It involves computer based result generation, which allows scientists to explore more which they can’t earlier due to various limitations.

The fourth paradigm involves using big. It involves programming, correlation and functional relationships to give meaningful results of these data. It has not replaced our scientist but it is acting as a second brain and highly trained expert to manage data more efficiently. 

Where does this data help ?

In the year 2010 Pepsi managed to make its data more real by building a technology based program. Once, the Pepsi director was interviewed by ADMA. The interview made it clear that managing big data on a large scale is a reason behind customer retention of Pepsi.  My friend Shen Havitz while practicing medicine noticed that during vacation, the number of patients reporting heart disease is more than usual. This might be because of more intake of oily foods as they are enjoying their holiday meals. Cardiovascular surgery is costly and at the same time it can be fatal. While lucky patients can get stables, still they need to pay a hefty amount for the surgery. Shen and his colleagues analysed data of patients for 2 years and they found a connection between recovery rate and chances of acquiring this disease again. Databases of patients have shown that critical patients are more vulnerable over patients suffering from minute congestion. Using this analysis Shen recommended critical patients to consult a doctor for 3 months on a regular basis after surgery. It has reduced patient’s resurgery amount as well as it has  made bed free for other patients at the hospital. 

Large money making companies invest their massive amount of money on betting using these data. Also companies now have an opportunity to use this data to do analysis of customer’s demand, their buying pattern and can use this analysis to satisfy their customer and bridge the gap in services. Microsoft, facebook are able to grow faster because they are using data in a very precise manner. They are working together to grow faster.

Ocean Science and data

Ocean and sea covers 70% of our earth’s surface and are the source of several natural disasters like tsunamis, cyclones and hurricanes. Ocean consists of a wide variety of species and is the biggest reserve of carbon and sea foods. Water allows passing of electromagnetic radiation and hence study of oceanography becomes  easy. Scientists are exploring unmanned islands, sea bottoms through optical fibre. It helps in establishing Internet connection and access to a variety of data. Studying these data helps in understanding various aspects of oceans like: 

  • Change in sea level
  • Density variation 
  • Temperature-Fluctuation

Scientists can compare data generated through the optical fiber and data  generated in laboratories, which can help in understanding the data differences and similarity generated in both the cases, which further can improve our understanding of how ocean,  land and atmosphere are interconnected. Scientists can use these data to forecast Tsunami, ridges formation in the ocean, and volcanic eruptions well in advance. Data generated from the ocean can help in DNA sequencing, which further will show how temperature affects organisms and vegetation inside the ocean.

Disease, drought and data

Data from the 2000s shows 56% of the population are suffering from cancer. This data can help the government to govern the food and utilities which are high sources of this  disease. Even now doctors and researchers are using DNA sequencing methods to develop vaccines for HIV using these high valued data. Similarly, a timely forecast of drought can help the state and country manage the situation well in advance before the situation gets severe. Machine learning can provide real time data by forecasting monsoon patterns. This type of technology requires suitable infrastructure, efficient programers, data storage points, privacy and high tech systems to use these data effectively.  Satellites are a huge source of data. Numerous companies are using it to manage water, which will be the biggest crisis that mankind will face in the coming time. So developing better real time sensors can help to achieve a better prediction model.

Fourth paradigm has huge impact on society also: 

  • Creating research is more optimistic.
  • Improving the pharmaceutical industry.
  • Morphing data sets into realistic pictures.

Author: A.C.

Dr. Chakraborty is a researcher in electronics and has authored numerous articles in the domain. She is also an avid blogger and shares a penchant for domains like technology, business and science.

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