Hadoop Example Projects

  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