This slide is about real time analytics of Big Data. It explains about Big Data and Analytics. How to deal with them.
see more at - http://bigdataconcept.blogspot.in/2016/03/real-time-analytics-of-big-data.html
2. Big Data?
• Big Data is a collection of large amount of
Data that is available with all the organisation.
The amount of these data are so huge that
managing them has become a challenge. The
worst thing is these data are increasing
exponentially.
3. Big Data Example
• i) 200 of London's Traffic Cams collect 8 TB of
data per day.
• ii)1 day of Instant Messaging in 2002 consume
750 GB of Data.
• iii)Annual Email Traffic excluding spams consume
300PB+ of Data.
• iv)In 2004 Walmart Transacton DB contains 200
TB of Data.
• v) Total Digital Data created in 2012 is assumed
to be 270000 PB.
5. Real Time Analytics
• In order to get something meaningful from
the huge quantity of data Real Time Analytics
is used.
• It deals with both structured and unstructured
data coming from external source like sensor
in order to get a meaningful conclusion.
6. Example
i) Crime detection and prevention
ii) Stock Market - In stock market trading
happens so fast that a fraction of second
change everything. Here if we analyse the
pattern in real time then we can generate
meaningful conclusion.
7. iii)Telecommunication - Now a days world is so
densely connection that it becomes a headache
for the companies to manage the CDR. One can
imagine the vast quantity of data present in a
CDR. All of the data is not relevant. So in order
to store them efficiently Infosphere Stream can
be used. It will parse all the details and remove
the irrelevant one.
8. iv)Health monitoring - The system can also be
used for proper monitoring of health. Data from
devices can be monitored and studies in order
to find out if the patient is suffering from some
diseases.
v) Transportation - Real time data can be
available about movement of buses or anything
and customer can benefit from it.
