05BIG DATA FACTS THAT YOU SHOULD KNOW

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05 BIG DATA FACTS THAT YOU SHOULD KNOW

• Metaforum Technologies

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According to Andrew McAfee, The world is like a
big data problem. Data is the kingnowadays. It
powers everything one dreams of doing. Data has
been evolved as newtechnical solution for
addressing the problems that emerge day by day.
The term Big Datarefers to the complex volumes
of both structured and unstructured data
available thesedays.One can extract data or
information for many sources to analyze it
critically. How onemakes the use of big data is
more important than the quantity of data that one
mightaccess. Many answers are hidden in the big
data that can make the lives more convenient.A
thorough and careful examination of data
careducing costs, determining causes offailures,
detecting fraudulent behavior, enhancing
decision-making capabilities andoptimization of
the available resources.Here are top 10 big data
facts that one might be aware of if he desires to
turn data intobusiness insights
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1) Big Data is omnipresent

• Today, most of the data is accessible in digital
  form. A lot of information is available on
• digital platform with an ever increasing number
  of things being digitalized and associated
• with the web. With the invention of 5G or
  Internet of Things (IoT), any gadget or device
  can
• be connected to the web, thereby enabling flow of
  data. Using this technology anything can
• be uploaded to the virtual clouds that act as
  storage for unlimited data. This has resulted in
• new information streaming into your associations
  from completely new territories.
• Associations should utilize this data with no
  dread to digitize items.

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2) Diverse culture of Big Data

• Keeping in mind the end goal to completely
  exploit enormous information, it is basic to
• transform your firm into a big data -driven
  organization. A major information culture
  requires
• that representatives be urged to guarantee that
  the information is gathered and stored
• properly so that it can be served to the clients
  on request. They should be prompt enough
• to inquire and resolve the encountered problem on
  the spot. The managers should be
• aware of the application of big data strategies.

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3) Hadoop framework for data processing

• The information in a Hadoop system is partitioned
  into numerous pieces, known as blocks.
• This means that data is dispersed all through the
  structure. This provides the scalability
• that is required for big data training
  processing. With the combination of technologies,
  
• massive amounts of data can be stored, analyzed
  and processed in a fraction of a second.

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4) RFID and crime prediction

• Over 12 million RFID tags have been sold by 2011.
  These tags can be used to capture data
• and track movement of objects in the physical
  world. Big data can be employed for
• predictive policing. The trial to predict
  crimes before they happen was successful in
• California. It was able to identify the areas
  prone to crimes more accurately using big data
• analysis.

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5) Gravity of Big Data

• In less than a minute, the internet is flooded
  with more than 200 million emails and about 3
• lakh tweets. 18 million facebook likes are
  generated every minute with 2 lakh photo
• uploads. Google alone is processing over 3.5
  billion search queries in a single day. The
• gravity of the big data is evident from the fact
  that total amount of data being captured and
• stored by industry is doubling in every 1.2
  years.
• Learn more _at_ Hadoop Training in chennai