big data –opportunities and issues

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BIG DATA – OPPORTUNITIES AND ISSUES Presented By, G.GOMATHI, K.ABINAYA II-M.C.A ANJALAI AMMAL MAHALINGAM ENGINEERING COLLEGE

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Page 1: Big data –opportunities and issues

BIG DATA –OPPORTUNITIES

AND ISSUESPresented By,G.GOMATHI,K.ABINAYA

II-M.C.AANJALAI AMMAL MAHALINGAM ENGINEERING

COLLEGE

Page 2: Big data –opportunities and issues

CONTENTS

BIG DATA CATEGORIES CHARACTERISTICS TOOLS OPPORTUNITIES ISSUES CONCLUSION

Page 3: Big data –opportunities and issues

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.

Page 4: Big data –opportunities and issues

CATEGORIES STRUCTURED DATA• Fixed format

UNSTRUCTURED DATA• Without any fixed form.

SEMI-STRUCTURED DATA• Self-describing Structure

Page 5: Big data –opportunities and issues

CHARATERISTICS VELOCITY Real time

Non real time

Audio Periodic

Reports Batch

Web Database VOLUME

Tables SMS

Photo KB

Video MB

GB

PB

VARIETY ZB

Page 6: Big data –opportunities and issues

VOLUME

Big data implies enormous volumes of data.

The volume of data to be analysed is massive

Page 7: Big data –opportunities and issues

VARIETY

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

Examples: Photos ,video, audio, database etc.

Page 8: Big data –opportunities and issues

VELOCITY

Responding to the increasing speed.

Speed of data from various sources.

Page 9: Big data –opportunities and issues

OPPORTUNITIES

Healthcare Banking Agriculture Enterprise

Page 10: Big data –opportunities and issues

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.

Page 11: Big data –opportunities and issues

BIG DATA IN AGRICULTURE

Avoid crop loses due to climate variability.

Produce food sustainability with environment.

Page 12: Big data –opportunities and issues

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.

Page 13: Big data –opportunities and issues

TOOLS HADOOP NoSQL MAPREDUCE HIVE SCOOP POLYBASE

Page 14: Big data –opportunities and issues

ISSUES

Privacy and Security. Data Access and Sharing

of Information. Processing Issues. Issues related to the

characteristics

Page 15: Big data –opportunities and issues

PRIVACY AND SECURITY

Page 16: Big data –opportunities and issues

DATA ACCESS AND SHARING INFORMATION

Accurate, complete, timely manner.

Sharing of information between companies is awkward.

Page 17: Big data –opportunities and issues

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.

Page 18: Big data –opportunities and issues

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.

Page 19: Big data –opportunities and issues

THANKYOU

QUERIES…