Big Data Projects

Big Data Projects

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. 

Big-Data

Big-Data-Projects

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BIG DATA PROJECT

 


 

BIG DATA PROJECTS :
  1. Big data technologies in support of real time capturing and understanding of electric vehicle customers dynamics.
  2. Simulating Big Data Clusters for System Planning, Evaluation, and Optimization.
  3. MRPrePost—A parallel algorithm adapted for mining big data.
  4. Bwasw-Cloud: Efficient sequence alignment algorithm for two big data with MapReduce.
  5. Towards a Collective Layer in the Big Data Stack.
  6. Probe into setting up big data processing specialty in Chinese universities
  7. Language based web crawling on big data.
  8. A Big Data Architecture for Large Scale Security Monitoring.
  9. Experiments with computing similarity coefficient over big data.
  10. A Google approach for computational intelligence in big data .
  11. Toward personalized and scalable voice-enabled services powered by big data.
  12. A standard for benchmarking big data systems .
  13. Energy-aware Scheduling of MapReduce Jobs for Big Data Applications.
  14. Power system disaster-mitigating dispatch platform based on big data
  15. Bootstrapping K-means for big data analysis.
  16. Big Data as an e-Health Service.
  17. Transforming Big Data into Smart Data: Deriving value via harnessing Volume, Variety, and Velocity using semantic techniques and technologies.
  18. Big data processing framework of road traffic collision using distributed CEP.
  19. In unity there is strength: Showcasing a unified big data platform Over both object and file storage with mapreduce ideas.
  20. Design of handover self-optimization using big data analytics.
  21. A scalable machine learning online service for big data real-time analysis.
  22. Scalable big data computing for the personalization of machine learned models and its application to automatic speech recognition service.
  23. Addressing human bottlenecks in big data.
  24. Accelerating Spark with RDMA for Big Data Processing: Early Experiences.

BIG DATA  PROJECTS TOOLS:

1.NoSQL.

DatabasesMongoDB, CouchDB, Cas.sandra, Redis, BigTable,Hbase, Hypertable, Vold.emort, Riak, ZooKeeper.

2.MapReduce.
Hadoop, Hive, Pig, Cascading, Cascalog, mrjob, Caffeine,S4, MapR, Acunu, Flume, Kafka, Azkaban, Oozie,Greenplum.

3.Storage.
S3, Hadoop Distributed File System.

4.Servers.
EC2, Google App Engine, Elastic, Beanstalk, Heroku.

5.Processing.

R, Yahoo! Pipes, Mechanical Turk, Solr/Lucene,ElasticSearch, Datameer, BigSheets, Tinkerpop.

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Work Progress

PHD - 24

M.TECH - 125

B.TECH -95

BIG DATA -110.

HADOOP -90.

ON-GOING Hadoop Projects

HADOOP MAP -90.

HADOOP YARN -27.

HADOOP HEBROS - 25.

HADOOP ZOOKEEPER -18.

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