Big Data Projects

projects on big data
Big Data Projects

Big Data Projects

CITL Tech Varsity, Bangalore offers 2015-2016 IEEE Projects on Big Data for final year engineering Computer Science & Engineering students (CSE) and Final year engineering projects on Big Data for information science and engineering (ISE) students. Java based 2015-2016 IEEE Projects on Big Data projects for M.Tech, CSE, CNE (Computer Network engineer) and BE CSE, BE ISE students. CITL Tech Varsity, Bangalore also offer online training for projects on Big Data for final year engineering Computer Science & Engineering(CSE) and Final year engineering projects on Big Data for information science and engineering students. CITL offers 2016 IEEE Projects training on software JAVA at very cheap cost. See this section for list of Projects on Big Data or Contact us for details and projects on Big Data.

IEEE 2015-2016 bigdata (hadoop) project list on java based for mtech / MS / be / btech / mca / M.sc students in bangalore.

CITL Tech varsity offers Big data haddop based IEEE projects for Mtech and BE final year  computer science branch students. Here at CITL we use apache hadoop i.e., cloudera’s open source platform to work on Big data projects. It is a java based programming which runs on apache hadoop i.e, on cloudera framework. We have technical team who are skilled enough to provide solution on latest IEEE related big data projects. Get analytics and hadoop based projects on big data for students using java as core programming language.

We assist students online for big data projects by taking teamviewer access and through skype.

  1. A data mining framework to analyze road accident data
  2. A Time Efficient Approach for Detecting Errors in Big Sensor Data on Cloud
  3. Big data, big knowledge: big data for personalised healthcare
  4. Deduplication on Encrypted Big Data in Cloud
  5. Processing Geo-Dispersed Big Data in an Advanced MapReduce Framework
  6. Recent Advances in Autonomic Provisioning of Big Data Applications on Clouds
  7. Privacy Preserving Data Analysis in Mental Health Research
  8. BFC: High-Performance Distributed Big-File Cloud Storage Based On Key-Value Store
  9. Performance Analysis of Scheduling Algorithms for Dynamic Workflow Applications
  10. PaWI: ParallelWeighted Itemset Mining by means of MapReduce
  11. Building a Big Data Analytics Service Framework for Mobile Advertising and Marketing
  12. Review Based Service Recommendation for Big Data
  13. Secure Sensitive Data Sharing on a Big Data Platform
  14. Load Balancing for Privacy-Preserving Access to Big Data in Cloud
  15. Enabling Efficient Access Control with Dynamic Policy Updating for Big Data in the Cloud
  16. MRPrePost-A parallel algorithm adapted for mining big data
  17. Privacy Preserving Data Analytics for Smart Homes
  18. Authorized Public Auditing of Dynamic Big Data Storage on Cloud with Efficient Verifiable Fine-grained Updates
  19. KASR: A Keyword-Aware Service Recommendation Method on MapReduce for Big Data
  20. Cost Minimization for Big Data Processing in Geo-Distributed Data Centers
  21. Dache: A Data Aware Caching for Big-Data Applications Using the MapReduce Framework
  22. ClubCF: A Clustering-based Collaborative Filtering Approach for Big Data Application

Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data duration, search, sharing, storage, transfer, visualization, querying and information privacy. The term often refers simply to the use of predictive analytics and Analysis of data sets can find new correlations to "spot business trends, prevent diseases, and combat crime and so on. Projects on Big Data are growing rapidly because they are increasingly gathered by cheap and numerous information-sensing mobile devices, aerial (remote sensing), software logs, cameras, microphones, radio-frequency identification (RFID) readers and wireless sensor networks.

Characteristics of projects on Big Data

Big data can be described by the following characteristics

  1. Veracity The quality of Data captured can vary greatly, affecting accurate analysis.
  2. Volume The quantity of generated and Data stored. The size of the data determines the value and potential insight and whether it can actually be considered big data or not.
  3. Velocity In this context, the speed at which the data is generated and processed to meet the demands and challenges that lie in the path of growth and development.
  4. Variability Inconsistency of the data set can hamper processes to handle and manage it.
  5. Variety Type and nature of the data. This helps people who analyze it to effectively use the resulting insight.

Data must be processed with advanced tools (analytics and algorithms) to reveal meaningful information. For example, to manage a factory one must consider both visible and invisible issues with various components. Information generation algorithms must detect and address invisible issues such as machine degradation, component wear, etc. on the factory floor so these things we can study in Projects on Big Data.

Big data projects for engineering students

Big Data projects for Engineering Students

Engineering students should choose big data for his final year project, because it Big-Data is the future of modern data science. We have best 2016-2017 Big data projects for engineering students ideas, which is going to be extremely useful in day to day life. At CITL you will get expert training for any kind of projects based on Big Data. Engineering students can do their Big-Data projects on these area

  • Real time data recovery, getting missing values
  • Social Marketing Footprint discovery and analysis for Marketing
  • Smart City Maintenance, and Data Management system 2016
  • Auto spelling and grammar detection and correction
  • Human Activity Recognition, Public Transport, Machine Learning
  • Cloud computing object storage and integration system
  • DNA Database storage and analysis
  • Real Time query answering system form Big Data Source

Attend your big data final year projects at our institute in Bangalore or take online direct training classes from anywhere in India or world. Get top quality and trending IEEE big data projects from here and do it by yourself. We are continuously adding more big data final year project ideas, so you could find new opportunities in Big Data Science. Take reference or would like to start your training from our or yours idea on Big data projects.

Find latest 2016-2017 topic ideas Big data projects for M.Tech students, and Big data projects for B.Tech students. Let us know your feedback and new ideas on Big Data Projects.