21 Best Big Data Research Topics
Big Data Research Topics – Before discussing Big Data Research Topics first understand the meaning of Big Data.
Big Data
Big data means a huge size of data which is growing exponentially day by day from various sources and in various ways. Big data is too big and complex in size that there is no tool at present that can process it effectively.
Examples of Big Data
There are various examples of Big data as listed below-
Social Media Face book, Twitter, Linkedln, Instagram
Face book generates 500 terabyte data daily in the form of photos, text, video, comments, etc.
Other social media sites like Twitter, LinkedIn, Instagram, Mix, etc., also generate data in huge quantities.
Macro and Micro Blogs
Various blogs and websites daily generate a variety of huge data.
Features of Big Data
Important features of big data are
- Volume,
- Variety and
- Velocity
Due to high volume, big variety, and great velocity, this is a very challenging field and therefore it has a big scope of research so that big data can be managed, processed, analyzed, and used effectively for the betterment of business and the nation.
Some important Big data research topics are here to do more research in the field.
Big Data Research Topics
“Analysis and Optimization of Clustering Algorithm for Big data”
Or
“Big data analysis technique in the context of clustering”
In this Big Data research study, you will need to study and compare various existing Clustering techniques to develop an optimized clustering technique in order to analyze and use big data effectively.
“Big data analysis to find the Impact of Climate Change on Disease Dynamics”
In this Big Data research topic, you can analyze big data related to weather conditions or climate change to find its impact on health conditions and disease.
You can take a particular disease also such as fever, cough and cold, cancer, or any other disease to make this work more focused and effective.
“Big data Processing Mechanism to Integrate Climate Change on Health Conditions”
A researcher needs to study existing big data processing methods, techniques, and algorithms and propose an optimized big data processing mechanism to find the impact of climate change on health conditions.
Big Data Research Topics
“Big data Processing Mechanism to Integrate Climate Change on Crop Conditions”
Similarly, the researcher can find the influence of Climate Change on Crop conditions and farming enterprises.
You can study climate impact on a particular crop also to make your research more focused and effective.
“Big data Processing Mechanism to Integrate Climate Change on Market Basket Analysis”
A researcher can propose a big data processing mechanism to integrate climate change on market basket analysis.
“Novel Predictive Classification Real-Time Technique for Big Data in Cloud Environment”
A researcher can develop a technique or an algorithm to classify and organize Big data continuously stored in a cloud environment.
“Intelligent Big data Analysis Model for Searching and Organizing Organizational Information”
Develop a big data analysis model or system for storing, searching, Classifying, and Organize an organizational information resource in order to effectively use organization information resources.
“Efficiently Scalable and Distributed Map reduce technique for Big data Analysis”
The map-reduce approach can be used for big data analysis to obtain big data efficiently and effectively to get scalability which is suitable for a distributed environment.
Big Data Research Topics
“An Efficient Technique of Big data Harmonization”
Big data Harmonization means to process Big data and feed integrated data to business processes.
Integrated data means data received different data sources like text, sound, images, and movies, etc.
In this study, the researcher needs to develop a technique that can use integrated big data and allow business processes to use the approach for effective business processes.
“An optimized algorithm to reduce the complexity and redundancy of big data”
A researcher can develop a method, algorithm, technique, or model to reduce complexity and redundancy of beg data in order to use big data effectively and minimize memory resources.
“Distributed Pattern Classification algorithm for Big data Prediction”
Pattern classification algorithm, technique, method, or mechanism can be designed and developed which is suitable in a distributed environment. The main purpose of this technique will be future big data prediction.
“An improved Algorithm for Confidential data sharing securely on big data”
In this study, you can develop an algorithm, technique or mechanism to share your confidential data on the big data repository.
“A novel mechanism to store confidential data securely on Cloud”
Security is the most challenging field while storing data on cloud due to more advanced techniques of hacking information.
Therefore a more secure mechanism is required to store data on clouds. You can develop a secure system to store data on clouds.
“Big data research topic – An optimized algorithm to improve security, and privacy preservation on a cloud environment”
There is a need for a system, technique, or algorithm to increase the security and privacy of organizational data present on the cloud.
The field has become more challenging due to new operating systems and tools used to store data on clouds.
Hence, it requires more research in the field in order to improve security and privacy.
Big data research topic – “An optimized security framework for Big data Initiative Business Organizations”
An improved security framework or mechanism for Big data can be designed and developed for the small and medium-size business organizations those who want to use Big data for their organizations.
“A study on the evolution of architectural elements of distributed databases”
Or
“A study on the evolution of architectural elements of big data”
Recently, huge growth is seen in the field of big data due to the incremental development of social media tools to attract viewers. Hence, it is necessary to study all the elements and also their evolution related to big data.
“Study and forecast new trends of big data and their effective applications in business processes”
The study will focus on the detailed critical study of all the present elements of big data and on the basis of the critical analysis, you can predict future trends and their effective use in small and large businesses.
Big data research topic – “An intelligent technique to present data to educate the people and improve behavior”
The topic focuses on the study that proposes a system or mechanism that present data for the layman understanding and also make the people more intelligent and educated in about their data.
The study is very useful as well as very demanding particularly for the developing nations to improve the insight of the people about their daily needs. In the digital scenario, this study is more important and useful.
This study can focus on a variety of domains to make people intelligent and more insightful in order to change their behavior. Such domains are as follows-
- Medical reports
- Energy consumption data
- Bank account information
- Insurance data
- Stock exchange report
- Income tax-related data
- Government reports, and many more
Using all the above domains you can design more Big data research topics for your study.
Big data research topic – “A secured technique to analyze Organizational information from anywhere anytime”
This is an IoT based research that needs to study the present scenario of IoT application for big data and design and develop a technique to analyze any kind of data from any place and at any time.
“Improve data analytic techniques to optimize decision making”
The study will focus on data analysis techniques to optimize decision making. It includes collecting data, filtering data using different constraints and apply the data for fast, better and confident decision making.
“A novel improved big data technique to implement on medical domain”
Big data is a new and growing field therefore deeper research is demanded to make the data more useful for improved decision making on different domains. These domains are various such as-
- Medical
- Education
- Business
- Government policies
- Crimes prevention,
- Tourism,
- Insurance
- Shopping,
- Fashion Industry,
- Counterterrorism,
- Healthcare, etc. and many more
According to the need of the above domain areas, you can design more Big data research topic for your research.
“An improved algorithm for data visualization from big data”
An optimized technique or algorithm is designed and developed for Data visualization to visualize the information from a cluster of random data stored in a big data repository to predict accurate results.
Big Data Research Topics list is huge. You can integrate Big data with other steams also to do research such as cloud computing, machine learning, data analytics, storage system, and data sets, etc.