Big Data - What? Why? & How?

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Big Data What? Why? How?
Presented by KONSTANT INFOSOLUTIONS
www.konstantinfo.com
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What is Big Data?

• Big Data can be described as huge chunks of
  structured and unstructured data that is hard to
  interpret. Its simply a mechanism to gain
  insights and meaningful data values from large
  data sets, which ultimately leads to better
  understanding of business progress and aids in
  taking better decisions.

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History of Big Data

• The process of transforming raw data into
  meaningful information has been followed since
  ages. In early 2000s, a proficient analyst Doug
  Laney explained the growing nature of data as the
  three Vs, Volume, Velocity and Variety.

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History of Big Data

• Volume. The quantity of the data produced and
  stored.
• Velocity. In this context, the rate at which the
  data is being produced and processed to meet
  different business challenges.
• Variety. The type of the data produced.

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History of Big Data

• The data has grown exponentially in the last few
  years making it difficult to manage and analyze,
  which gave birth to the term
• Big Data.

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The Four Additional Vs

• While devising a Big Data strategy there are some
  additional parameters (some additional Vs),
  which require your critical eye. Here, we list
  the same.

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The Four Additional Vs

• Veracity. You need to be accountable for the data
  being produced, stored and analyzed by the
  analysis team for organizations growth,
  prosperity or hardship.

Poor Accuracy
Good Accuracy
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The Four Additional Vs

• Variability. It is the core in performing
  analyzes. Algorithms should be good enough to
  comprehend the entered data and produce
  meaningful insights.

Less Variability
More Variability
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The Four Additional Vs

• Visualization. Huge chunks of complex data
  rendered into the simplest form with plenty of
  variables to work with. Not the regular graphs or
  pies but a graphical representation of compound
  data.

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The Four Additional Vs

• Value. Big data churns the existing raw data sets
  into useful information that adds value to the
  business in the process of decision making and
  future strategy moves.

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Importance of Big Data

• No matter how much data is stored inside the data
  banks unless its managed, sorted and analyzed to
  meaningful information. This is where Big Data
  comes into picture helping organizations to
  achieve the following,

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Importance of Big Data
The benefits come in a flurry especially when Big
Data combines with analytics. Here are some of
the benefits you can reap after sowing the seeds
of Big Data analytics.
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How It Works
The benefits come in a flurry especially when Big
Data combines with analytics. Here are some of
the benefits you can reap after sowing the seeds
of Big Data analytics.

• Streaming Data
• Social Media Channels
• Publicly Available Sources

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How It Works
Once the data sources are identified, data gets
processed to yield consequential results that
actually makes sense. This includes

• How to store and manage it?
• How much of it to analyze?
• How to use any insights you uncover?

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What should be your last move?

• Consider technologies or tools for Big Data
  Analytics keeping the following factors in mind

• Affordable yet effective
• Massive storage capacity
• Fast processors
• Parallel processing, clustering, MPP,
  virtualization

• High connectivity and high throughputs
• Cloud computing
• Flexible resource allocation arrangements
• Popular tools like Hadoop

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