Master Thesis Hadoop Projects

    Master Thesis Hadoop Projects is currently gaining increasing attention in the student’s environment, with an increasing need to know the demand of students and research scholars. Hadoop becomes synonymous to Big Data even if it is quite a few years old but the demand for Hadoop in Big Data Analytics is not going down. Our professionals have knowledge in Hadoop core components such as Flume, Pig, Hive, YARN, Oozie, HDFS, MapReduce and Hbase. We build cutting-edge Hadoop projects for students and also we always looking to learn the new technologies for our students. We are proud to support motivated students with share practical knowledge and academic guidance throughout their projects and also we would like to hear about your project ideas. Students from any of the disciplines can choose their project in a field of Hadoop. In today’s Hadoop landscape, it has touched a whole new level. Our way of approach treating among students is towards practical approach.

Below a broad range of topics are listed,

• YARN Architecture
• MapReduce/Tez
• Data Ingestion
• Pig and Hive
• HDFS Architecture
• Predictive Analytic Applications

                     -Classification

                     -Recommendation

                     -Personalization

                     -Big Tele Communication Systems

                     -Business Intelligence

                     -Data Warehouse

New Fangled Topics for Master Thesis Hadoop Projects

• A Novel Approach for Online Product Quantization using Machine Learning Approaches over Hadoop Framework
• Hadoop Distributed File System for Providing Big Data Security [Master Thesis Hadoop Projects]
• DDoS Attacks Detection and Analysis in Big Data Analytics over Hadoop Environment
• Design a Big Data Analytics Architecture for the Internet of Small Things (IoST) on Hadoop Framework
• An Efficient Distributed Storage Systems for New Adaptive Coding Selection Method using Hadoop
• Apache Spark Streaming for Online Internet Traffic Monitoring System using Data Mining Techniques
• A Map Reduce Framework for Finding Top-K Dominance on Incomplete Big Data Analytics
• A Performance Comparison of Real Systems Open Stack and Cloud over Hadoop Clusters [Master Thesis Hadoop Projects]
• A Map Reduce based Approach for Improving Resources Utilization over Hadoop Heterogeneous System
• Big Satellite Images Classification over Hadoop Clusters for Recognizing Land Covers