360digitmg big data analytics course - PowerPoint PPT Presentation

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360digitmg big data analytics course

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Big data analytics course has 3 days of program, it has 24 hours of duration. big data course has learned SQL and NoSQL. – PowerPoint PPT presentation

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Title: 360digitmg big data analytics course


1
WHAT IS BIG DATA AND ADVANTAGES OF BIG DATA
WHAT IS BIG DATA? The meaning of big data can be
understood from the name itself. Big data means
a huge amount of data. Here, the huge amount
means that data which is present in terabytes,
petabytes, etc. Big data is being used everywhere
in the market. At present, data science
technology is the only technology which is being
used in every sector. One of the most important
parts of the data science technology is the
data. However, we cannot use the same big data we
get from the users. Different operations are
needed to be performed on the big data for
extracting useful information from
it. GENERATION OF BIG DATA A question which comes
to mind is, from where do we get this big data?
The big data is generated from the users. The
generation of big data can be explained with an
example of social media platforms. It has been
said that more than 500 terabytes of the data
are generated through social media platforms.
Here, the data is the videos, photos and stories
that we upload on social media. Another
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  • example of the generation of big data is the
    stock market. It has been said that about one
    terabyte of data is generated in a single day.
  • TYPES OF BIG DATA
  • The big data do not contain a single variety of
    data. The data is generated in different forms.
    The different forms of data are known as the type
    of big data. They are listed below--gt
  • Structured data
  • Structured data is that data which can be
    processed and stored in a fixed format. For
    example, spreadsheets, etc. In technical
    language, structured data is that data which is
    present in the form of integer, string, float,
    double, etc.
  • Unstructured data
  • Unstructured data is that data which does not
    have a fixed format. The real-world examples of
    this data type of data are audios, videos, texts,
    etc.
  • Semi-Structured data
  • Semi-structured data is the combination of both,
    structured as well as unstructured data.
  • PROCESSING OF BIG DATA
  • As said above, we cannot use big data as it is.
    We have to perform some operations on it for
    squeezing out useful information from it. The big
    data cannot

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  • be processed by traditional methods, because the
    traditional methods are not able to process and
    store such a huge amount of the data. Thats why
    new frameworks are introduced in the market for
    processing the big data. One of those frameworks
    is Hadoop.
  • ADVANTAGES OF BIG DATA
  • Here are some advantages of big data. They are
    listed below--gt
  • Big data reduces the cost.
  • Big data also improves the efficiency of the
    product.
  • Big data also increases sales if used in
    marketing.
  • CHARACTERISTICS OF BIG DATA
  • Here are four characteristics of big data. They
    are listed below--gt
  • Velocity
  • Variety
  • Veracity
  • Volume
  • CONCLUSION
  • As said above, the big data is being implemented
    in every sector. Apart from its advantages in
    the market, big data is also a bright career
    option. Students should get big data training.
    They can learn it from online courses.

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