Big Data Training in pune

1
Big Data

• Big data is a term that describes the large
  volume of data both structured and unstructured
  that inundates a business on a day-to-day
  basis. But its not the amount of data thats
  important. Its what organizations do with the
  data that matters. Big data can be analyzed for
  insights that lead to better decisions and
  strategic business moves.
• Big Data' describes data sets so large and
  complex they are impractical to manage with
  traditional software tools.
• Big Data refers to technologies and initiatives
  that involve data that is too diverse,
  fast-changing or massive for conventional
  technologies, skills and infra- structure to
  address efficiently.

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2
3 vs of Big Data

• Volume Organizations collect data from a variety
  of sources, including business transactions,
  social media and information from sensor or
  machine-to-machine data. In the past, storing it
  wouldve been a problem but new technologies
  (such as Hadoop) have eased the burden.
• Velocity. Data streams in at an unprecedented
  speed and must be dealt with in a timely manner.
  RFID tags, sensors and smart metering are driving
  the need to deal with torrents of data in
  near-real time.
• Variety. Data comes in all types of formats
  from structured, numeric data in traditional
  databases to unstructured text documents, email,
  video, audio, stock ticker data and financial
  transactions.

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3
Techniques of Big Data

• Association rule learning.
• Classification tree analysis.
• Genetic algorithms.
• Machine learning.
• Regression analysis.
• Sentiment analysis.
• Social network analysis.

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4
Tools of Big Data

• Apache Hadoop. Apache Hadoop is a java based free
  software framework that can effectively store
  large amount of data in a cluster. ...
• Microsoft HDInsight. ...
• NoSQL. ...
• Hive. ...
• Sqoop. ...
• PolyBase. ...
• Big data in EXCEL. ...
• Presto.

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5
How Applications of Big Data Drive Industries

• Trying to decide whether there is true value in
  big data or not
• Evaluating the size of the market opportunity
• Developing new services and products that will
  utilize big data
• Already utilizing big data solutions
  Repositioning existing services and products to
  utilize big data
• Already utilizing big data solutions

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6
Benefits of Big Data

• Real-time big data isnt just a process for
  storing petabytes or exabytes of data in a data
  warehouse, Its about the ability to make better
  decisions and take meaningful actions at the
  right time.
• Fast forward to the present and technologies like
  Hadoop give you the scale and flexibility to
  store data before you know how you are going to
  process it.
• Technologies such as MapReduce,Hive and Impala
  enable you to run queries without changing the
  data structures underneath.

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7
Risks of Big Data

• Will be so overwhelmed
• Need the right people and solve the right
  problems
• Costs escalate too fast
• Isnt necessary to capture 100
• Many sources of big data is privacy
• Self-regulation
• Legal regulation

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8
If you want to know more about Big Data then
Visit www.classboat.com/tech/big-data-classes-p
une/area-shivaji-nagar

• Mobile No. 91-7767904499 E-mail -
  support_at_classboat.com www.classboat.com