Hadoop Thesis

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Hadoop Thesis

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Hadoop Thesis Format:

• Table of Contents
• Abstract
• List of Tables
• List of Figures
• Introduction
• Background Overview
• Motivation of the Research
• Aim of the Research
• Thesis Organization
• Research Methodologies
• Algorithm Description
• Pseudocode description
• Simulation setup
• Performance Analysis
• Comparative Study
• Conclusion
• Future research
• References
• Appendices
• Appendix Bioset

Main Hadoop Thesis Topics Covers:

• Big Data Introduction and Data Analytics
• Hadoop Fundamentals
• HDFS, Hive, MapReduce
• Sensors Dataset (Weather Datasets)
• Wordcount problem
• Social media datasets like twitter data analysis and YouTube
• HBase, Pig and Sqoop
• Spark and Scala
• Apache Spark and Oozie
• Installations: Hive, Sqoop and Hadoop
• Complex MapReduce Jobs Functioning
• Data ingestion into Hadoop
• HDFS architecture and MapReduce framework
• Understanding of Hadoop Design Patterns
• Job Scheduling Oozie

Major Algorithms in Hadoop:

• User and item based recommendations
• Fuzzy-C-Means and K-Means Clustering
• Collaborative filtering algorithm
• Mean Shift Clustering
• Latent Dirichlet Allocation
• Dirichlet Process clustering
• Singular Value Decomposition
• Complementary Naïve Bayes Classifier
• Random Forest Decision Tree
• Parallel Frequent Pattern Mining
• High performance java collections
• KNN Algorithm
• Genetic Algorithm
• Scheduling using Tabular Approach
• Machine Learning algorithm
• Apriori based algorithms for MapReduce
• K-mer counting
• Secondary sorting
• DNA Sequencing
• Naïve Bayes Algorithm
• Linear Regression
• Bloom filtering on MapReduce
• PageRank Algorithm
• Job Scheduling Algorithms

Key Technologies over Hadoop:

• Machine learning automation
• Web Notebooks
• Data Security and Governance
• Global Resource Management
• Data Fabrics spreading
• Messaging Platforms
• NoSQL Takeover

Stream Processing Technologies:

• Apache Flink
• Spark Streaming
• Apache Apex
• Apache Samza
• Apache Storm
• Akka Streams
• Streamset

Topics include in Hadoop Thesis:

• Hadoop for Frequent Accessed Data Files Using Flexible Replication Management
• Hadoop MapReduce Paradigm for Mining Parallel Distributed Patterns
• Organize and Enhance Online Search Results Using Hadoop Based Novel Approach in Big Data Ecosystem
• Sun Grid Engine and Apache Hadoop Big Data Image Processing Empirical and Theoretical comparison
• Clustering for Analyze Mobile Phone Usage in Pig and Spark MLLib
• Bandwidth Reduction Using Multicast Based Replication in Hadoop HDFS
• Local Scheduling Algorithm Policy Enhancement in Hadoop Cluster Platform
• High Scalable Distributed Processing and Storage Paradigm in Big Data Framework for Unstructured Data
• Naive Bayes Classifier for Predict Cancer Report Generation, and Query Providing
• Survey Framework Based on Cloud Robotics to Solve Problem of Simultaneous Mapping and Localization
• Develop Internet of Things in Industrial Educational IoT Case for Cloud Framework
• Machine Learning Techniques for Analyze Microarray Data on Scalable Environment
• Hadoop Processing Interface for Computationally Intensive Processes Service Offloading in Private Cloud
• Ensemble Data Classification Approach Based on Iterative Hadoop on Distributed Medical Databases
• Compare Large Volume of Data Distributed Processing Performance on Docker and Xen Based Virtual Clusters