Big data analytics in bioinformatics and healthcare merges the fields of biology technology and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management complete with interdisciplinary research resources this publication is an . Big data analytics in bioinformatics a machine learning big data analytics in bioinformatics and healthcare merges the fields of biology technology and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Applying big data analytics in bioinformatics and medicine is a comprehensive reference source that overviews the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field featuring coverage on relevant topics that include smart data proteomics medical data storage . Big healthcare data is devastating not only because of its volume but also the heterogeneous nature of data and speed at which it must be managed frost 2015 in order to extract knowledge from big data a healthcare system requires unconventional and mature data storage management analysis and visualization tools and techniques. Big data can be described as data that grows at a rate so that it surpasses the processing power of conventional database systems and doesnt fit the structures of conventional database architectures its characteristics can be defined with 6vs volume velocity variety value variability and veracity a brief introduction to every v is given below and in fig 31