“Big data big insight” Understand the lesson in detail and easily

There is a revolution (Change) in the lifestyle of people which has been affected by Big Data.  Our food habits, our health care our travelling, our scientific pursuits (following/ hobby), you name it and everything has changed 360 degrees (totally/completely/ comprehensive). The massive data available with us can really work wonders. Friends, do you know what happens when we like a post on Facebook or share a post on WhatsApp, visit any website, make online purchases, or watch videos?  Yes, whatever activity we do online is recorded, monitored (keep an eye on) and analysed (study / examine). So a huge amount of data is collected. Let me give you an idea of how huge the data might be. Big data can be petabytes or Exabyte’s of data consisting of billions (एक अब्ज) to trillions millions (दहा लाख करोड)  of records of millions (दहा लाख) of  people- 

All from different sources, for example web, sales, customer contact centre, social media, mobile data and so on. The data available to industries and companies is enormously increasing in volume, variation, velocity, veracity and value.

Such a Big data is easy to obtain but so massive (big) that it challenges the current computing technologies and hence Big Data analytics is used to give insights (clear or deep perception of a situation/  गहन जानकारी) that  were  previously  incomprehensible (puzzling/ unknown).

Big data analytics is the complex process  of examining large and varied data sets or  Big data to  uncover information such as  hidden patterns, unknown correlation (related) market trends (tendency) and customer  preferences.  With such a huge data available with the industries they can have innumerable advantages hence all the industries are trying to reap the maximum benefit from it. Many industries have advanced (higher/ progressive) by miles (largely) from their competitors.  It’s not the amount of data that is important but what the organizations do with the data is what matters.

Uses of Big Data

1] Location Tracking (Travelling) :

Big Data has been useful in identifying and tracking the exact location of a place. You’re GPS and Google Maps makes use of Big Data. With geographic positioning and radio frequency identification sensors (RFID) we get the real-time Data about traffic, congesting on a particular route, information if the route is closed or if it is one-way route, understanding accident prone (sensitive) area etc.

You can plan your own route according to the travel time and the transportation of goods. If you have ordered something online you can track the location of your goods in transit (travel/transport), you can also track the condition of the goods. This has immensely helped the logistics (the commercial activity of transporting goods to customers)companies to reduce risks in transport, improve speed and reliability in delivery.

2] Understanding the weather Patterns:

There are weather sensors and satellites set-up all around the globe. Huge amount of Data is continuously being received from them. They help us to understand the weather and help in weather forecasting. Weather patterns give us warnings of the impending (approaching/ near) natural calamities (disaster/दुर्घटना; विपत्ति; आपदा) like floods, earth quack, tsunami etc. Necessary preparations to combat (encounter/ fight) them can be made well in advance. We can study global warming, predict (foretell/ पूर्व-सूचना देना) availability of natural resources like water.

3] Health Care Industry:

Today we see that people have become health conscious (aware/ जागरूक). The smart watches, other wearable, health apps in our phone keep on collecting Data. We can say that they are our mini biomedical research devices.

They detect our heart rate, monitor the patient’s sleep pattern, keep a record of his exercise, the distance walked etc. The analysis of this Data collected can give new insights and provide a personalized and individual feedback to each and every person. Nowadays we have gadgets to monitor blood sugar, blood pressure etc. at home; 24 x 7 monitoring can be provided to patients in hospitals too. With the help of Big Data the doctors can now have better diagnosis of any ailment (disease /illness), the effect of any drug etc. Unnecessary guesswork can be significantly reduced. Past records of the patients can be maintained and better analysis of the health can be obtained. Big Data helps in monitoring the outbreaks (eruption) of epidemics and diseases.

Just when you post your message, ‘I’m down with flu’ on WhatsApp or Facebook it will be monitored and the areas affected by “flu” can easily located and necessary precautions can be taken. Pharmaceutical companies would pay huge amount to receive the health Data of people to promote research in the particular area. With the help of the Data gathered, individuals (person) are often given suggestions and solutions for the problems they are encountering.

4] Banking, Finance and trading:

       With the Big Data analytics, the investments patterns of the people can be studied new insights have enabled the banks and finance companies to come with suitable plans. Big Data has enabled smooth functioning of these agencies and institutions.

Banking and Finance sector (the commercial activity of providing funds and capital) is using Big Data to predict and prevent cybercrimes, card fraud detection, Archival of audit trials etc. By analyzing the past Data of their customers and the Data on previous brute force (cyber) attacks banks can predict future attempts. Big Data not only helps in predicting cyber-crimes, but it also helps in handling issues related to missed- transactions and failures in net banking.   It can even predict possible spikes (sudden increase) on servers so that banks can manage transitions accordingly.

The Securities Exchange Commission (SEC) is using Big Data to monitor (Observe/ watch) financial market for possible illegal trades and suspicious (doubtful/संदेहजनक) activities. The SEC is using network analytics and natural language processors to identify possible frauds in the financial market

High-Frequency trading (HFT) is an area where Big Data finds a lot of use today. Here, Big Data algorithms (design/ system) used to make trading decisions. Today the majority, of equity trading now takes place via Data algorithms that increasing take into account signals from social media networks and news websites to make, buy and sell decisions in split seconds.

5] Sports: 

When watching a cricket match, we are shown so many permutations (variation) and combinations of statistical analysis. A gigantic (vast) Data has been created over a period of time from the recording of matches, training sessions and workouts. The Data enables a sportsperson to study his performance as well as of the other players worldwide. It has tremendously (largely) helped in improving individual as well as team performance.

The sensors embedded (fixed/ installed) in the sports equipment help us to understand our game from close quarters (our home). The sensors help us to understand the field conditions, the weather, individual performance etc. Video analytics help us to see each and every performance minutely (sharply).

6] Advertising : 

Advertisers are one of the biggest players in Big Data. Be it Facebook, Google, Twitter or any other online giant (huge/ enormous), All keep a track of the user behavior and transactions (business/deal). These internet giants provide a great deal of Data about people to the advertisers so that they can run targeted campaigns.

Take Facebook, for example, here you can target people based on buying intent, website visits, interests, job role, demographics (human populations) and what not. All this Data is collected by Facebook algorithms (design/ system) using Big Data analysis techniques. The same goes for Google, when you target people based on clicks you will get different results and when you create a campaign for leads then you will get different results. All this is made possible using Big Data.

 7] Entertainment and Media: 

In the field of entertainment and media, Big Data focuses (concentrate) on targeting people with the right content (information) at the right time. Based on your past views and your behaviour online you will be shown different recommendations. This technique is popularly used by Netflix and YouTube to increase engagement (involvement/ investment ) and drive more revenues.

Now, even television broadcasters are looking to segment (divide)   their   viewer’s database and show different advertisement and shows accordingly.  This will allow better revenue from ads and will provide a more engaging (pleasant /attractive) user experience.

8] Education Industry: 

Big Data has inundated (prosper/develop) the education industry. It has transformed (totally changed) it in leaps and bounds. Now we have information about the students, their study patterns, and we can now prepare customized (make according to requirements) and

Dynamic (effective) learning programmes according to the need of an individual student. Every student’s comprehension (knowledge/ज्ञान) level is different. The course material can now be designed catering to different requirements of the students. Big Data makes it convenient to understand their choices, their difficulties, information regarding various courses and their specialties; we also have an access (obtain from a storage device; as of information on a computer) to the results. From the results we can gauge (Guess/test) the progress of the students, understand his strengths and weaknesses. This will also help in guiding the student regarding the best career for him based on his mental make-up and abilities. An in- depth study of all this would definitely give new insights into  the  education  industry  and  help  in  improving  the operational (functional) effectiveness  and  working  of  educational institutes. This would in general, enhance (improve) progress of all students. Big Data has provided a solution to one of the biggest pitfalls (problem) in the education  industry,  that  is  one  – size- fits-all. We have innumerable uses of Big Data. It is helpful in   scientific   researches,   understanding   geographical phenomena (a remarkable development/ changes), helping in the smooth   working   of   the government machinery etc.

   We have innumerable uses of Big Data. It is helpful in scientific researches, understanding geographical phenomena, helping in the smooth working of the government machinery etc. It is a genie in our hands. It lies in our hands to make the optimum use of it for the benefit of mankind