Big Data Analytics - Why is it the hottest buzzword around?

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Big Data Analytics - Why is it the hottest
buzzword around?

• With the amount of data being generated every day
  by businesses and consumers worldwide, the
  importance of data is skyrocketing rapidly. Who
  would have thought that big data analytics would
  bring a revolution to our world a few years ago?
  This technology is fueling everything we do these
  days from shopping online to listening to songs
  to finding a romantic partner. Take Spotify for
  example, it has nearly 96 million users and
  through the help of big data analytics, the
  cloud-based platform helps automatically generate
  suggested songs based on users likes, shares and
  history.

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What is Big Data?
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• It is a massive amount of data that cannot be
  stored, analyzed, or processed until treated with
  analytics and algorithms. Data exists in various
  forms like structured, semi-structured, and
  unstructured data. Emails come under
  semi-structured and videos and pictures come
  under unstructured data. All of this can be
  collectively called big data.

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• What is big data analytics?

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• If we talk about big data definition then it is a
  science of examining large amounts of data to
  gain better insights and uncover hidden patterns
  and then applying these results to drive
  successful business results. It can be used to
  prevent fraudulent activities and for better
  decision making among other things.

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Major benefits of Big Data Analytics
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• Big data examples can be understood from the
  various benefits it offers for all kinds of
  businesses. Risk management is on top of the list
  as it helps companies narrow down a list of
  suspects and finds the root cause of fraudulent
  activities. This technology also helps businesses
  improve their end product by finding faults in
  the existing technology. For a company that wants
  to analyze whether a particular location will be
  suitable for a new outlet or not, data analytics
  can easily derive valuable inputs from
  demographics, population, and geographical data.
  And by analyzing customers responses towards a
  particular service, their overall experience can
  also be enhanced.

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Big data analytics tools

• There is no defined path for you to become a data
  analyst as you would have to learn a couple of
  technologies based on your end goal. Hadoop,
  Talend, MongoDB, STORM, Spark, Cassandra, and
  Kafka are some of the major tools used in Big
  data analytics. From storing integrating,
  managing to real-time processing, and analyzing,
  these technologies deal with all major aspects.

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Join the Big Data Revolution

• Considering the importance of big data in our
  world today, there is no uncertainty in the fact
  that the demand for data analysts will continue
  to rise. To advance your career in this field,
  sign up with SynergisticIT, and learn core
  concepts of the Hadoop framework including Hive,
  Apache, and HBase.

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