Clinical data are the most important data as the data stored in the healthcare records are about the patient's health status and personal information. These clinical data are gathered and are further used by the doctor professionals to analyze the patient's health condition. This consists of clinical health records with the enormous clinical type decisions and diagnosis. Big data includes about the medical stakeholders and other pharmaceutical resources. It reviews different challenges which include the data resources using the big data. Large data is stored in the electronic manner, which includes terabytes to pera-byte of data. Data are stored in the relational database management system which reads, writes or stores the data. In this proposed patent, the patient's health condition report is diagnosed to analyze the chronic illness or early diagnosis of health condition of patients. Apache Hive is used to standardize the health-related massive data which are generated. These health reports are organized in an efficient manner which stores and analyses the data. This framework creates the big data to collect these data in a resourceful manner. This Apache hive manages and collects the data for analysis with the minimal amount of time. Deep learning analysis is used to diagnosis the medical data analysis and for the visualization. Health monitoring with the big data and deep learning process the data for processing, cleansing and trained datasets. These deep learning techniques represent the high level of extracting process which abstracts the data in a hierarchical way of manner. Extraction of the complex patterns streams the data diagnosis, which simplifies the processes. Unstructured data are diagnosed into the structured manner which correlates the termed output. Big data applications are used in the healthcare and IOT applications for diagnosing the medical illness, medical record and other clinical data. Apache Hive Query analysis and provides the file distributed system and databases. It integrates the hive SQL which transforms the query database and processes it. DNN gives good and accurate performance with the different tools and techniques. These frameworks improve to diagnose the patient's health condition and diagnose the chronic illness. Big data analytics enhances the outcomes of the patient, personalized care for patients and reduces the time consumption.Homomorphic encryption encrypts the data in the server in the cloud where the practitioner/physician gives the request to access the information in the encrypted mode

Big Data, DNN, SQL, Apache Hive Framework, Diagnosing Illness, Homomorphic Encryption