Big data Projects involved in collecting information from the various sources and these data are interlinked to form global information. The big data applications are widely used in e-commerce, media, retail banking etc. Big data characteristics are Dandelion, diverse, self governing. So the extracting of information from bid data application is not an easy job. The big data application needs some innovative techniques to improve the processing of large scale data within an endurable transpire time. Many researchers are developing multiple applications for big data, such as cloud computing framework, distributed parallel computing, distributed databases, etc. most of the leading IT based companies are spent more money to manage their data in big data environment. It can create an appetite for knowledge discovery application. Developing countries or developed countries are taking a deep discussion about why we are using big data application for address the major issues are faces by the government.For Latest IEEE BASED BIG DATA PROJECTS ENQUIRE US.
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BIG DATA PROJECT
- High Performance and Fault Tolerant Distributed File System for Big Data Storage and Processing Using Hadoop.
- A Performance Analysis of MapReduce Task with Large Number of Files Dataset in Big Data Using Hadoop.
- A study of big data processing constraints on a low-power Hadoop cluster.
- An experimental approach towards big data for analyzing memory utilization on a hadoop cluster using HDFS and MapReduce
- Hadoop: Addressing challenges of Big Data
- DataMPI: Extending MPI to Hadoop-Like Big Data Computing
- Research on big data information retrieval based on hadoop architecture.
- Effectiveness Assessment of Solid-State Drive Used in Big Data Services
- Parallel Processing of Big Data Using Power Iteration Clustering over MapReduce.
- Use of Big Data technology in Vehicular Ad-hoc Networks.
- A Compatible LZMA ORC-Based Optimization for High Performance Big Data Load.
- Big data challenges in information engineering curriculum .
- The Video Monitoring System Based on Big Data Processing.
- A Discriminant Framework for Detecting Similar Scientific Research Projects Based on Big Data Mining.
- KASR: A Keyword-Aware Service Recommendation Method on MapReduce for Big Data Applications.
- Beginning with big data simplified.
- A Big Data Financial Information Management Architecture for Global Banking.
- Toward Scalable Systems for Big Data Analytics: A Technology Tutorial.
- Big data implementation and visualization.
- A contention aware hybrid evaluator for schedulers of big data applications in computer clusters.
- Prominence of MapReduce in Big Data Processing.
- Increasing the accessibility to Big Data systems via a common services API.
- Situation aware computing for big data.
- Big Data Infrastructure for analyzing data generated by Wireless Sensor Networks.
- Mobile Internet big data platform in China Unicom.
- Big data for better health planning.
- Making Big Data, Privacy, and Anonymization Work Together in the Enterprise: Experiences and Issues.
- An improved parallel association rules algorithm based on MapReduce framework for big data.
- A system architecture for manufacturing process analysis based on big data and process mining techniques.
- Challenges and best practices for enterprise adoption of Big Data technologies.
- Inference patterns from Big Data using aggregation, filtering and tagging- A survey.
- BigExcel: A web-based framework for exploring big data in social sciences.
- BIG DATA: Preconditions to Productivity.
- Big Data analytics frameworks.
- Efficient structuring of data in big data.
- Strategies for Big Data Clustering.
- Biomedical Big Data for Clinical Research and Patient Care: Role of Semantic Computing.
- Will They Blend?: Exploring Big Data Computation Atop Traditional HPC NAS Storage.
- TideWatch: Fingerprinting the cyclicality of big data workloads.
- Spatial big data and wireless networks: experiences, applications, and research challenges.
- Pythia: Faster Big Data in Motion through Predictive Software-Defined Network Optimization at Runtime.
- Big data technologies in support of real time capturing and understanding of electric vehicle customers dynamics.
- Simulating Big Data Clusters for System Planning, Evaluation, and Optimization.
- MRPrePostA parallel algorithm adapted for mining big data.
- Bwasw-Cloud: Efficient sequence alignment algorithm for two big data with MapReduce.
- Towards a Collective Layer in the Big Data Stack.
- Probe into setting up big data processing specialty in Chinese universities
- Language based web crawling on big data.
- A Big Data Architecture for Large Scale Security Monitoring.
- Experiments with computing similarity coefficient over big data.
- A Google approach for computational intelligence in big data .
- Toward personalized and scalable voice-enabled services powered by big data.
- A standard for benchmarking big data systems .
- Energy-aware Scheduling of MapReduce Jobs for Big Data Applications.
- Power system disaster-mitigating dispatch platform based on big data
- Bootstrapping K-means for big data analysis.
- Big Data as an e-Health Service.
- Transforming Big Data into Smart Data: Deriving value via harnessing Volume, Variety, and Velocity using semantic techniques and technologies.
- Big data processing framework of road traffic collision using distributed CEP.
- In unity there is strength: Showcasing a unified big data platform Over both object and file storage with mapreduce ideas.
- Design of handover self-optimization using big data analytics.
- A scalable machine learning online service for big data real-time analysis.
- Scalable big data computing for the personalization of machine learned models and its application to automatic speech recognition service.
- Addressing human bottlenecks in big data.
- Accelerating Spark with RDMA for Big Data Processing: Early Experiences.
BIG DATA PROJECTS TOOLS:
DatabasesMongoDB, CouchDB, Cas.sandra, Redis, BigTable,Hbase, Hypertable, Vold.emort, Riak, ZooKeeper.
Hadoop, Hive, Pig, Cascading, Cascalog, mrjob, Caffeine,S4, MapR, Acunu, Flume, Kafka, Azkaban, Oozie,Greenplum.
S3, Hadoop Distributed File System.
EC2, Google App Engine, Elastic, Beanstalk, Heroku.
R, Yahoo! Pipes, Mechanical Turk, Solr/Lucene,ElasticSearch, Datameer, BigSheets, Tinkerpop.