Interactive Big Data Management in Healthcare Using Spark
This paper gives an insight on how to use apache spark for performing predictive analytics using the healthcare data. Large amount of data such as Physician notes, medical history, medical prescription, lab and scan reports generated by the healthcare industry is useless until there is a proper method to process this data interactively in real time. Apache spark helps to perform complex healthcare analytics interactively through in memory computations. In this world filled with the latest technology, healthcare professionals feel more comfortable to utilize the digital technology to treat their patients effectively. To achieve this we need an effective framework which is capable of handling large amount of structured, unstructured patient data and live streaming data about the patients from their social network activities. Apache Spark plays an effective role in making meaningful analysis on the large amount of healthcare data generated with the help of machine learning components supported by spark.