Big Data Architecture

Persivia’s Big Data platform can integrate Social, Behavior, Consumer, Genomic as well as Clinical and Claims data to provide comprehensive, intelligent and actionable insights.

Big Data Platform - Data Integration

Persivia’s Big Data platform can integrate Social, Behavior, Consumer, Genomic as well as Clinical and Claims data to provide comprehensive, intelligent and actionable insights. Extracting meaningful information out of this large data set, which can influence positive health outcomes, more precise treatments and controlling cost is beyond the traditional tools and technologies such as relational databases and ETL processes.  Persivia employs a modern big data solution  at the core of its product platforms. Big Data does not only deals with the volume of the data but also the velocity of the data where the need is to extract and analyze the large volumes of data to provide clinical decisions and analytics to the users at point-of-care in near real time.

At the core of Persivia’s Big-Data ecosystem lies following components:

1. Micro Services as core architecture
2. Enterprise Integration using Industry standard Integration framework (Apache Camel)
3. Message Oriented Middleware using Industry Standard Message Broker (Kafka)
4. Real Time Stream processing using Industry Standard stream processing Engine (Spark)
5. Hadoop, a highly scalable storage platform that can store and distribute very large data sets across hundreds of inexpensive servers that operate in parallel

Persivia’s Big-Data platform is geared to support NLP (Natural Language Processing), Machine Learning, to enable people and machines to interact more naturally to extend and magnify human expertise and cognition.