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Syllabus || SNS Courseware
Subject Details
Dept     : MECHATRONICS
Sem      : 7
Regul    : 2019
Faculty : karthi
phone  : NIL
E-mail  : karthinallasivam@gmail.com
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Syllabus

UNIT
1
INTRODUCTION TO BIG DATA

EVOLUTION OF BIG DATA - BEST PRACTICES FOR BIG DATA ANALYTICS - BIG DAT ACHARAECTERISTICS- VALIDATING - THE PROMOTION OF THE VAUE OF BIG DATA - BIG DATA USE CASES - CHARECTERISTICS OF BIG DATA APPLICATION - PERCEPTION & QUANTIFICATION OF VALUE

UNIT
2
DATA ANAYTICS

INTRODUCTION TO DATA ANALYTICS - VISUALIZATION & DATA EXPLORATION - BASIC & INTERMEDIATE ANALYSIS - LINEAR & LOGISTIC REGRESSION - DECISION TREE

UNIT
3
HADOOP

INTRODUCTION TO HADOOP - HADOOP SCALABILITY - VERTICA SCALABIITY - HORIZONTAL SCALABILITY - ANATOMY OF HADOOP

UNIT
4
MANAGNIG HADOOP FILE

INSTALLATION & EXECUTOIN OF HADOO - STAND ALONE MODE - PSEUDODISTRIBUTED MODE & fULLY DISTRIBUTED MODE - FIE MANAGEMENT - CREATE A DIRECTORY IN HDFS- LIST THE CONTENTS - UPLOAD & DOWNLOAD A FILE IN HDFS - COPY, MOVE & REMOVE A FIE HDFS

UNIT
5
AUTOMATION DATA HANDLING

WEATHER REPORT IN POC - MAP REDUCE ROGRAM - REGRESSION MODELLING USING R - IMLEMENTATION OF CLASSIFICATION MODELS USING R - IMPLEMENTATION OF CUSTERING MODELS USING R - EXECUTION BIG DATA USING R PROGRAM

Reference Book:

PHILIPP.K. JANERT, "DATA ANAYTICS WITH OPEN SOURCE TOOLS"

Text Book:

DAVID LOSHIN "BIG DATA ANALYTICS: FROM STRATEGIC PLANNING TO ENTERRISE INTEGRATION WITH TOOS TECHNIQUES"