Big data processing with hadoop

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Bachelor’s thesis 
Information Technology 
Internet Technology 
2015 
Shiqi Wu 
BIG DATA PROCESSING WITH 
HADOOP 
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BACHELOR´S THESIS | ABSTRACT
TURKU UNIVERSITY OF APPLIED SCIENCES 
Information Technology | Internet Technology 
June 2015| 45
Patric Granholm 
Shiqi Wu 
BIG DATA PROCESSING WITH HADOOP
Computing technology has changed the way we work, study, and live. The distributed data 
processing technology is one of the popular topics in the IT field. It provides a simple and 
centralized computing platform by reducing the cost of the hardware. The characteristics of 
distributed data processing technology have changed the whole industry.
Hadoop, as the open source project of Apache foundation, is the most representative platform of 
distributed big data processing. The Hadoop distributed framework has provided a safe and 
rapid big data processing architecture. The users can design the distributed applications without 
knowing the details in the bottom layer of the system. 
This thesis provides a brief introduction to Hadoop. Due to the complexity of Hadoop platform, 
this thesis only concentrates on the core technologies of the Hadoop, which are the HDFS, 
MapReduce, and Hbase. 
KEYWORDS: 
Hadoop, Big Data, HDFS, MapReduce, Hbase, Data Processing 

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CONTENTS 
LIST OF ABBREVIATIONS (OR) SYMBOLS 
5
 
1
 
INTRODUCTION TO BIG DATA 
6
 
1.1
 
Current situation of the big data 
6
 
1.2
 
The definition of Big Data 
7
 
1.3
 
The characteristics of Big Data 
7