Post on 11-Jan-2017
CONTENTSINTRODUCTIONWHAT IS BIG DATADEFINING BIG DATABENEFITS OF BIG DATANEW OPPORTUNITESBIG DATA SKILLAPPLICATIONSCHARACTERISTICS OF BIG DATAADVANTAGESDISADVANTAGESCONCLUSION
INTRODUCTIONBig data technologies describe a new generation
technologies.
WHAT IS BIG DATABig data is a term that describes the large volume of
both structural unstructured.
DEFINING BIG DATAMost definitions of big data focus on the size of data
in storage.
BENEFITS OF BIG DATAWe just saw that user organizations have adopted big data analytics in appreciable numbers. Determine the potential benefits that are driving the adoption.
NEW OPPORTUNITESTo some users, it’s the analytic tool where they create
analytic models or fashion complex queries. To others, it’s the database management system where analytic big data is managed and operated on. It could be both.
BIG DATA SKILLAnd its skill set is not quite the same as that business
intelligence and data warehousing, for which most organizations have developed their skills.
A lack of business support can hinder a big data analytics program.
APPLICATIONS
Homeland Security
Finance Smarter Healthcare
Telecom
Manufacturing
Traffic Control
Trading Analytics
Fraud and Risk
Log Analysis
Search Quality
Retail: Churn, NBO
Multi channel
CHARACTERISTICS OF BIG DATA
ADVANTAGESFlexible schemaQuicker/cheaper to set upMassive scalabilityEvantual consistency –higher perfomance &
availability.
DISADVANTAGESNo declarative query language –more
programmingEvantual consistency-fewer guarantees.
CONCLUSIONThe availability of the Big Data, low-cost
commodity in the hardware, and new information management and analytic software.
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