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1. DR. MEGHNAD SAHA INSTITUTE OF TECHNOLOGY
SEMINAR TOPIC ON “BIG DATA”
Submitted To:
Debasish Biswas
Submitted By:
Samiran Parui
DCST; 3rd yr.; 07

2.  CONTENT:-
INTRODUCTION.
WHAT IS BIG DATA.
CHARACTERISTICS OF BIG DATA.
WHY BIG DATA
BIG DATA SOURCES
TOOLS USED IN BIG DATA
APPLICATION OF BIG DATA
FUTURE OF BIG DATA
REFERENCE

3.  INTRODUCTION :-
* “BIG DATA” IS A TERM THAT DESCRIBES THE LARGE VOLUME OF
DATA – BOTH STRUCTURED AND UNSTRUCTURED.
* “BIG DATA” BURST UPON THE SCENE IN THE FIRST DECADE OF THE
21ST CENTURY.
* THE FIRST ORGANIZATIONS TO EMBRACE IT WERE ONLINE AND
STARTUP FIRMS. FIRMS LIKE GOOGLE, EBAY, LINKEDIN, AND
FACEBOOK WERE BUILT AROUND BIG DATA FROM THE BEGINNING.

4.  WHATIS BIG DATA?
* “BIG DATA” IS SIMILAR TO ‘SMALL DATA’, BUT BIGGER IN SIZE.
* “BIG DATA” IS DATA WHOSE SCALE, DIVERSITY, AND
COMPLEXITY REQUIRE NEW ARCHITECTURE, TECHNIQUES,
ALGORITHMS, AND ANALYTICS TO MANAGE IT AND EXTRACT
VALUE AND HIDDEN KNOWLEDGE FROM IT…

5.  CHARACTERISTICOF BIGDATA:-
THERE ARE THREE CHARACTERISTIC OF BIG DATA:
1) VOLUME ( SCALE )
2) VELOCITY ( SPEED )
3) VARIETY ( COMPLEXITY )

6.  WHYBIGDATA:-
 FB GENERATES 10TB DAILY
 TWITTER GENERATES 7TB OF DATA DAILY
 IBM CLAIMS 90% OF TODAY’S STORED DATA WAS GENERATED IN JUST THE LAST TWO
YEARS.
FOR THOSE REASON WE NEED BIG DATA.

7.  BIG DATA SOURCES:-
 OUR PROGRESS AND INNOVATION ARE INCREASED DAY TO DAY BUT IN
BACK END THEIR HAVE LOTS OF DATA.
Social media and networks
(all of us are generating data)
Scientific instruments
(collecting all sorts of data)
Mobile devices
(tracking all objects all the time)
Sensor technology and networks
(measuring all kinds of data)

8.  TOOLSUSEDIN BIG DATA:-
APACHE HADOOP
MICROSOFT HDINSIGHT
NoSQL
HIVE
SQOOP
POLYBASE
PRESTO

9.  APPLICATIONOF BIG DATA:-
F

10.  FUTURE OF BIG DATA:
 $15 BILLION ON SOFTWARE FIRMS ONLY SPECIALIZING IN
DATA MANAGEMENT AND ANALYTICS.
 THE MCKINSEY GLOBAL INSTITUTE ESTIMATES THAT DATA
VOLUME IS GROWING 40% PER YEAR, AND WILL GROW 44X
BETWEEN 2009 AND 2020.

11.  REFERENCE:
http://www.slideshare.net/outerthought/big-data
http://www.wikipedia.com/wiki/big-data
http://www.edutechlearners.com/big-data
http://www.quora.com/big-data
http://opensource.com/resources/big-data
http://www.webopedia.com/TERM/B/big_data.html
http://bigdata.teradata.com/US/Big-Data-Quick-
Start/How-Big-Data-Works/