Hadoop example projects is available in hadoop package also. Apache hadoop offer some sample projects while we install the hadoop. Hadoop is fully support bu Linux comments. Hadoop is one of the open source software, so its full functions work in Linux comments.
GUI less package. While install the hadoop we need to know the Linux comments & we execute the projects we need to know the linux comments. Cluster formation is very simple using the hadoop software.
Using the hadoop projects we easily share the social media networks, machines, sensors etc…. Ph.D scholars use the hadoop for their big data resaerch works.
IEEE HADOOP PROJECTS
Hadoop example projects Benefits:
Data store
Computing power
Data process
Flexibility
Realiability
Fault tolerance
speed
Low cost
Accurate
Scalability
We provide the hadoop projects support for M.TECH / M.E / B.TECH / B.E / MCA / PH.D students. For hadoop projects we refer IEEE journal papers to create a new concepts.
Hadoop Example Projects:
A Hadoop-Based Framework for Large-Scale Landmine Detection Using Ubiquitous Big Satellite Imaging Data
Hadoop Recognition of Biomedical Named Entity Using Conditional Random Fields
Optimising Bootstrapping Algorithms Using R and Hadoop
Application Performance Analysis of Distributed File Systems under Cloud Computing Environment
BigDataDIRAC: Deploying Distributed Big Data Applications
CBA: Cloud-Based Bigdata Analytics
Cross-Layer Scheduling in Cloud Systems Hadoop Example Projects
BeTL: MapReduce Checkpoint Tactics Beneath the Task Level
Big Data service engine (BISE): Integration of Big Data technologies for human centric wellness data
Parallel Processing System for Marathi Content Generation
Enabling Large-Scale Biomolecular Conformation Search with Replica Exchange Statistical Temperature Molecular Dynamics (RESTMD) over HPC and Cloud Computing Resources
Big data processing tuning in the cloud Hadoop Example Projects
Building a Distributed Generic Recommender Using Scalable Data Mining Library
A survey on innovative approach for improvement in efficiency of caching technique for big data application
Implementation of a Software-Defined Storage Service with Heterogeneous Storage Technologies
COPAL — Cognitive personalized aid for learning
Research on public opinion based on Big Data
Aurora: Adaptive Block Replication in Distributed File Systems
Secure authentication using biometric templates in Kerberos
3-D image analysis using MapReduce
Scalable OWL-Horst ontology reasoning using SPARK
Accelerating Apache Hive with MPI for Data Warehouse Systems
SMapReduce: Optimising Resource Allocation by Managing Working Slots at Runtime
DyScale: a MapReduce Job Scheduler for Heterogeneous Multicore Processors
Enhancing decision-making by leveraging human intervention in large-scale sensor networks
