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Tech

[News] All You Need To Know About Big Data!

2018-04-10 10:35:09
11661 214

Hello, Mi Fans!

In this modern age, data is the new currency. We all know the basic thing that data means some type of information,  but there's more to the story friends. When we think about data, all we get in mind is a collection, organization and storge of large information. But how much data? In this internet age, companies and organizations around the world has collected so much data that now when we are talking about it at very large scale. It's a BiG Data which has a huge impact on our lives. In this thread, I'll try to explain you Big Data in detail. So, let's get started.

What Is Big Data?
  • Big data is a data set so large that our traditional means of managing information isn’t up for the job. This collection can take many forms.


Examples:
  • The tweets stored on Twitter’s servers.
  • The information Google gets from tracking car rides.
  • A country’s full set of local and national election results, going back as far as records have been kept.
  • What health insurance companies know about who gets what treatments done at which hospitals.
  • The types of purchases and places that appear on credit cards.
  • What people watch on Netflix, when, where, and how long.

What Is Big Data Technology?
  • Our PCs can manage quite a bit of data. Just imagine all the information it’s possible to cram into a single spreadsheet. Database software is capable of handling even higher volumes of information. These tools can cram onto a single hard drive data that would otherwise require shelves filled with boxes packed with notebooks and folders.


  • But these tools are insufficient to handle all the volume of information we refer to as big data. For that, we’ve developed new methods. Cloud computing offloads the job from our PCs onto distant servers. From there, there are any number of ways to access and utilize the information.

Key Uses for Big Data:

Internet of Things:
  • The internet you currently know is the internet of people. This is where people interact with one another, with machines facilitating that communication. You view sites that people design. You read words that people typed.


  • The Internet of Things is one where devices communicate directly with one another without human involvement. One device monitors the weather. A smart thermostat accesses that information and makes adjustments to the temperature in your home.
  • Big data and the Internet of Things are interdependent. These devices are able to take actions on their own thanks to all the data that is available to them. The more devices function this way, the more data that gets generated.

Machine Learning:
  • Machine learning refers to a computer’s ability to learn from data. This is how Pandora radio stations mold to your particular style. Machine learning is also behind content recommendations on YouTube and Netflix.


  • These predictions are due to algorithms. Google’s search algorithm? The algorithm that determines what you see in Facebook’s news feed? This is all machine learning at work.
  • These are but a few examples of how machine learning algorithms are influencing our everyday experiences.

Artificial Intelligence:
  • Artificial intelligence is the next step after machine learning. Here, not only is a computer learning from data, but it’s using that information to make its own decisions and shape its own behavior.


  • Microsoft and Google have both shown off efforts to create humanoid robots. Facebook is using artificial intelligence to help prevent suicides. The technology is progressing at a rate where there have been several instances where a computer’s thinking has outperformed a human’s.

The Benefits of Big Data :
Big Data in Healthcare:
  • The healthcare industry isn’t the fastest at adopting new technologies. Some providers are still migrating from paper to digital means of storage. Nonetheless, there are areas where big data is making a difference.


  • One is the area of integration. Insurers and providers are working on combining data from different sources, such as claims, X-rays, doctors’ notes, and prescriptions.
  • Many believe that if healthcare data was better integrated, this could provide better care at a lower cost. When Amazon, Berkshire Hathaway, and JP Morgan announced earlier this year that they were working together on healthcare, they cited technology as their area of focus, as The Guardian covers.

Big Data in Finance:
  • The finance industry is all-in on the idea of making decisions based on computer analysis. Wall Street flash crashes are due to automated trading, with machines rapidly selling off stock without human intervention, based on what’s going on in the market. This is called high frequency trading.


  • Now financial data scientists use big data to predict which stocks will succeed and when future crashes are likely to occur. Banks also see big data as a way to increase their revenue.

Big Data in Ecommerce and Marketing:
  • We generate a lot of information when we shop. In store, credit cards and loyalty cards track our every purchase. Some shops use cameras or even track our phones to see which part of the store hold our attention the longest. Online, we have to create accounts before shopping, allowing sites not only to track what we buy, but every item that we view.


  • Stores base their layouts around consumer interest and behavior. Online sellers decide what we see based on demographic information and other metrics. Amazon’s new brick-and-mortar stores are an example of the two worlds merging together.
  • There is big demand for the kind of insight that comes from monitoring our interests and online behavior. Facebook and Google are profitable tech giants because of their ability to sell ads that are better able to target specific consumer groups than other advertisement methods and platforms. They are able to do this thanks to all the information we provide when we use their services.

Is Big Data Dangerous?
  • Big data comes with promise, but it also comes with risk. First is the erosion of privacy. More people know more about each of us than at any point in human history. It’s not only easy to find where we live, but where we go, who we love, how we live, and what we think.
  • This makes individuals and societies more open to manipulation. We can be tricked into giving up our passwords and credit card numbers or influenced to vote for candidates we wouldn’t otherwise support. More data offers more ways for advertisers and media companies to shape our desires and values.
  • There’s more data about us than before, and that data is stored in more places. That creates more targets for attack. No longer is it enough to safeguard our own machines. Data breaches are now a regular occurrence, with what happens to our data being out of our control.

So, friends, in short, Whether or not you believe the hype about whether Big Data will change the world, the fact remains that learning how to use the recent influx of data effectively can help you make better, more informed decisions. The thing to take away from Big Data isn’t it’s largeness, it’s the variety. With today’s Big Data technologies, everything can be used as data – giving you unparalleled access to market factors.

What’s your take on the future of Big Data? Leave a comment below so I can check it out too. See you soon friends with one more interesting tech topic. Take care!
Sources : 1 , 2

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2018-04-10 10:35:09
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Techie Team

meetgour | from Redmi Y1

#1

Well Explained!!!
2018-04-10 10:49:02

Techie Team

Sam_crazy Author |

#2


Thank you brother.
2018-04-10 11:01:37

Techie Team

Subhash_Deshmukh | from Redmi Note 4

#3

Informative Article. Thanks For Sharing :-)
2018-04-10 11:06:24

Advanced Bunny

1645918493 | from Redmi Note 3

#4

I think this is a useful knowledge
2018-04-10 13:50:20

Pro Bunny

andubey1796700653 | from Redmi 5A

#5

very nice.....
2018-04-10 17:48:10
informative artical. Thanks for sharing!
2018-04-10 18:18:33
Mi Fan - I ❤ Mi
Ex Spam Hunter and Ex Device team member

Resource Team

Maji George | from Redmi 3S

#7

thanks for sharing
2018-04-10 18:20:00

Pro Bunny

yash999 | from Redmi Note 4

#8

Good information..
2018-04-10 18:20:43

Master Bunny

NS@Xiaomi | from Redmi Note 4

#9

good information
2018-04-10 18:54:30
I am with you.
Namaskar !!!

Techie Team

Sam_crazy Author | from Redmi Note 4

#10

Pratyush01
informations artical. Thanks for sharing!

Thank you pratyush for your kind words :)
2018-04-10 19:42:08
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