Doing PhD in Big Data? Know these latest areas of research

Are you planning to do PhD in Big Data? Let us discuss some of the vital latest research fields where Big Data is involved and know the interesting areas of research:

• Algorithms for data visualization- For visualizing the needed information from a pool of random data, strong algorithms are vital to get the desired results.
  
• Better data mining techniques- Data mining is the process for grabbing data from wide array of platforms. Enhanced distribution of algorithms and crawling techniques are required for scraping data from different platforms.
  
• Big Data tools and deployment platforms- Traditional tools are not efficient enough for handling Big Data. Lots of researched is required in these fields.
  
• Natural Language processing methods- you can use NL processing techniques on Big Data for discovering the current sentiment trend and it can be effectively used on finance, politics, business and more.
  
• Do you know that the tip of the iceberg is social data? As the owner of a website, we are well versed about our visitors, but not about the psychographic data and social networks. For this reason, brands require better understand about the interests of their visitors and why. When you do so and integrate it with analytics and heat maps, it will ensure better conversation. So, it forms an exceptional topic for your research.
  
• Improving data analytics techniques- This research involves gathering all data, filtering them out on particular constraints and using them for taking confident decisions.
  
• Development of extremely high performing, convex clustering algorithms that can run in parallel on distributed architectures.
  
• You can even choose a kernel level implementation of Hadoop- why is the distributed file system at the application layer?
  
• Development of languages such as Julia that can effectively run in a VM and yet permit access to high performing BLAS routines.
  
• You can also choose to understand and measure data about ourselves. Just similar to us tracking our burnt calories, steps and sleep, automation for tips and recommendations will be awesome. For instance, a person may be tracking their sleep for years, but the application does not provide them any suggestion about how to improve their sleep. This is an extremely interesting topic to research.
  
• You can also choose personalization as your topic. When you have the data, it will help the brands in doing an exceptional job with advertising and retargeting!