Big data Project Final Year Project Concepts

big data project is a fascinating concept and we have just scratched the surface of applications as far as bigdata is concerned.

BigData represents data sets that are so large or complex that traditional data processing software is inadequate to deal with them. Challenging projects such as capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, and information privacy can be done on the domain.

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.
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.

Engineering Projects on Big Data

Engineering students should choose big data for his final year project, because it Big-Data is the future of modern data science. It constitutes the best ideas for engineering students, which is going to be extremely useful in day to day life. Engineering students can do their Big Data hadoop projects for final year 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

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