Convert unstructured data to structured data

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• Best Way To Convert Unstructured Data To
  Structured Data

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Conversion of Unstructured Data to Structured
Data

• These days, Big Data is described with 3
  words volume, velocity and variety. The idea or
  concept to build the developing processes in
  order to manage the increasing volumes and
  velocity of knowledge nearly looks feasible.
  But from a method excellence purpose we are
  specifically curious about the variety, as this
  relates to two knowledge category structured
  data knowledge and unstructured data knowledge.
  The web data extraction services are used to
  extract both of this data types to be applied for
  business and technology purposes.

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Conversion of Unstructured Data to Structured
Data

• Unstructured data is a generic term to describe
  knowledge that does not sit in knowledgebases
  and may be a mixture of textual and non-textual
  data. It is difficult to convert unstructured
  data to structured data as it usually resides in
  media like emails, documents, presentations,
  spreadsheets, pictures, video or audio files.
• As the volumes of this sort of knowledge have
  increased through the employment of good
  technology the necessity to analyse this data and
  its awareness has also grown. This unstructured
  data file is processed and converted into
  structured data as the output by
  using unstructured data to structured data
  conversion tools. Automated unstructured data
  mining software will surely help in such
  scenarios.

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Transforming Unstructured Data to Structured Data

• How to convert unstructured data to structured
  data in Hadoop with an example
• Taking an example, consider unstructured data
  in Hadoop as being a crude oil. Though it is one
  of the most valuable raw materials, however
  before you can extract or fetch needed gasoline
  from crude we require to put it across a
  filtering or more precise a distillation
  procedure in a refinery to remove its impurity,
  and extract the valuable hydrocarbons which can
  be categorised as structured data.
• One of the immense things about Hadoop is that it
  provides a consistent, easy on the pocket and
  comparatively a simpler framework for gathering,
  confining and storing multiple data streams that
  was some years ago not feasible.

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Structured data is relatively uncomplicated and
easy to utilize

• Using structured data is easy with its
  methodological enhancements and as they reside in
  databases within the category of rows and
  columns. Its classified into relations or
  categories based mostly upon shared
  characteristics. The information is usually
  allotted attributes (data descriptions)
  associated with the categories inside every
  cluster to assist in ordering and logically
  grouping. Finally it is often delineated by
  predefined formats (string or value) with
  predefined lengths of characters.

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Structured data is relatively uncomplicated and
easy to utilize

• This makes structured data a decent place to
  begin for anyone longing for sturdy knowledge to
  form data upon that to create significant
  insights. Structured data are often queried and
  analysed to type, group, filter, count and total
  so as to answer business queries or live method
  capability. It is used in product data
  intelligence as well as price monitoring software
  solutions.
• With the account for the validity of the
  information it does modify comparatively with the
  process to verify and observe the information.
  Structured data forms an out-sized part of the
  information utilized by several in method
  enhancements, but this trend is quickly dynamical
  because the dominance of unstructured data will
  increase.

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Unstructured data extraction involve complexities
while processing the data initially

• As unstructured data resides on company networks,
  inside collaboration tools and within the cloud
  these are often very troublesome to interrogate.
  So as to look the information, processes ought to
  be in place to assist tag and sort it. This step
  is essential to permit for linguistics looking
  against key words or contexts. Summarize the
  competition

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Unstructured data extraction involve complexities
while processing the data initially

• Unstructured knowledge is being used in an
  exceedingly huge approach for social media
  corporations needing to perceive their markets
  and customers in additional depth. This presents
  identical opportunities to several of our
  businesses to assist perceive not solely its
  customers higher, however operations inside.
• A recent IDC report foretold the amount of
  digital content in 2012 can increase from 2011
  figures by forty eighth percent to over 2.7
  zettabytes (ZB) continued to associate 7.9
  zettabytes (ZB) by 2015. Over 90 of this data is
  calculable to be unstructured data that
  highlights the necessity to develop sturdy
  strategies to know and analyse the embedded data.

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Challenges with Business Processes in relation to
unstructured data extraction

• The challenge for businesses is to develop
  processes to use structure to the unstructured
  nature of the information for instance crucial
  the amount of satisfaction of consumers by
  analysing emails and social media could involve
  sorting out words or phrases. Words and phrases
  could also be classified into positive, negative
  or neutral classifications. State specific,
  measurable objectives for achieving your
  five-year goals.

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Challenges with Business Processes in relation to
unstructured data extraction

• At this stage the unstructured data is
  remodelled to structured knowledge by using
  unstructured data mining software wherever the
  teams of words found based mostly upon their
  classification are assigned a value. A positive
  word could equal one, a negative -1 and a neutral
  zero. This unstructured data will currently be
  kept and analysed as youd with structured
  knowledge. Rather more work is required during
  this space to analyse the unstructured data and
  plenty of the large vendors are functioning on
  solutions.
• I believe the companies that may get the
  foremost of their unstructured knowledge sources
  are those who notice ways and unstructured data
  mining software tools to remodel the unstructured
  to structured data.

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Conclusion

• The actual value can be derived when structured
  and unstructured data analysis is combined for an
  end-to-end solution.
• To know how you can grow your business results
  using DataCrops web data extraction software and
  solutions, connect for a free consultation with
  one of our experts today.

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