big data –opportunities and issues

BIG DATA –OPPORTUNITIES

AND ISSUESPresented By,G.GOMATHI,K.ABINAYA

II-M.C.AANJALAI AMMAL MAHALINGAM ENGINEERING

COLLEGE

CONTENTS

BIG DATA CATEGORIES CHARACTERISTICS TOOLS OPPORTUNITIES ISSUES CONCLUSION

BIG DATA It refers to data sets which

are too large and complex. Its size beyond the ability

of commonly used software tools.

It simply refers to the use of predictive analysis.

CATEGORIES STRUCTURED DATA• Fixed format

UNSTRUCTURED DATA• Without any fixed form.

SEMI-STRUCTURED DATA• Self-describing Structure

CHARATERISTICS VELOCITY Real time

Non real time

Audio Periodic

Reports Batch

Web Database VOLUME

Tables SMS

Photo KB

Video MB

GB

PB

VARIETY ZB

VOLUME

Big data implies enormous volumes of data.

The volume of data to be analysed is massive

VARIETY

It refers to data from many sources and types of data.

Examples: Photos ,video, audio, database etc.

VELOCITY

Responding to the increasing speed.

Speed of data from various sources.

OPPORTUNITIES

Healthcare Banking Agriculture Enterprise

BIG DATA IN HEALTHCARE

Big Data helps physicians to keep track of the patient’s history.

Big Data in healthcare is being used to predict epidemics, cure disease, improve quality of life and avoid deaths.

BIG DATA IN AGRICULTURE

Avoid crop loses due to climate variability.

Produce food sustainability with environment.

BIG DATA IN BANKING Monitor what customers

say to increase marketing success.

Identify the customer profile .

Design targeted marketing programs .

Enhancing loyalty through targeted offers.

TOOLS HADOOP NoSQL MAPREDUCE HIVE SCOOP POLYBASE

ISSUES

Privacy and Security. Data Access and Sharing

of Information. Processing Issues. Issues related to the

characteristics

PRIVACY AND SECURITY

DATA ACCESS AND SHARING INFORMATION

Accurate, complete, timely manner.

Sharing of information between companies is awkward.

Data management issues

Access, utilization, updating, governance and reference have proven to be a major blocks.New approaches to data qualification and validations are needed.

CONCLUSION

The ultimate aim of this paper is to express about the basic concepts of big Data such as how it is classified, characteristics and fields in which it is involved and opportunities and issues.

THANKYOU

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