Presentation111

Post on 11-Jan-2017

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Transcript of Presentation111

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.

Thank you

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