Big data refers to a process that is used when traditional data mining and handling techniques cannot uncover the insights and meaning of the underlying data

1. Big Data
Big data is refers to a process that is used when traditional data mining and
handling techniques cannot uncover the insights and meaning of the underlying data
Big data is an evolving term that describes any voluminous amount of structured, semi
structured and unstructured data that has the potential to be mined for information.
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3Vs of Big Data
1.Data Velocity: refers to the speed of data processing.
2.Data Volume : refers the amount of data
3.Data Variety : refers to the number of types of data

2. How is Big Data being used?
Improving healthcare :Data-driven medicine involves analysing vast numbers of medical
records and images for patterns that can help spot disease early and develop new
medicines.
Predicting and responding to natural and man-made disasters: Sensor data can be
analyzed to predict where earthquakes are likely to strike next, and patterns of human
behavior give clues that help organizations give relief to survivors.
Preventing crime – Police forces are increasingly adopting data-driven strategies based on
their own intelligence and public data sets in order to deploy resources more efficiently and
act as a deterrent where one is needed.
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3. How Big data impacts on IT
1. Big data is a troublesome force presenting opportunities with challenges
to IT organizations
2. By 2015 4.4 million IT jobs in Big Data ; 1.9 million is in US itself .
3. India will require a minimum of 1 lakh data scientists in the next
couple of years in addition to data analysts and data managers to
support the Big Data space.
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4. Big Data concerns
Big Data gives us unprecedented insights and opportunities, but it also raises concerns
and questions that must be addressed:
Data privacy: The Big Data we now generate contains a lot of information about our
personal lives, much of which we have a right to keep private
Data security :Even if we decide we are happy for someone to have our data for a
particular purpose, can we trust them to keep it safe?
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5. …Big Data concerns
Data discrimination – When everything is known, will it become acceptable to
discriminate against people based on data we have on their lives? We already use credit
scoring to decide who can borrow money, and insurance is heavily data-driven. We can
expect to be analyzed and assessed in greater detail, and care must be taken that this
isn’t done in a way that contributes to making life more difficult for those who already
have fewer resources and access to information.
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6. Benefits of Big Data
Real-time big data isn’t just a process for storing petabytes or
exabytes of data in a data warehouse, It’s 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
Isn’t 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-pune
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