Use of big-data in healthcare and lifescience using hadoop technologies

Research and implementation of big data analytics is a booming area with huge latent to give valuable insights in the areas of healthcare and lifescience. While there are many challenges with implementation of big data analytics in its implementation. The major challenges of big data analytics are 3Vs (Volume, Velocity, and Variety), makes it difficult to implement it for clinical applications. However, the further research in the field of big data analytics has enabled its use in the field of healthcare and lifescience. The implementation of big data analytics helps in reducing the overall cost in the area of clinical research and helps in improving the accuracy of the predictions for diseases. This study provides a baseline for assessing the rapid growth of the implementation of big data analytics into healthcare and lifescience aspects which assists in the understanding the big data applications and its impacts.