Mannya considers data science as a field that comprises everything related to data analysis like data interpretation, data collection etc. Data science process is a prolonged study of a project from its start to end and the execution flow.
Mannya processes large data sets across clusters of computers via simple programming models using Apache Hadoop. Hadoop being an open source platform gives the best data management provisions. Advantages using data science include its scalability, cost effectiveness, flexibility, speed and resilience to failure.
Mannya uses hadoop practically to work with large data sets and customize the outcome without outsourcing the task to service providers. In house operations helps organisations to be more agile thereby avoiding the on-going operational expense of outsourcing. Despite some disadvantages, Mannya functions focusing on the advantages and advancements so as to make the most out of it.
Mannya uses open source software of Apache like
The data sets that is so big and complex that normal traditional data processing application software can’t deal with them. That large volume of data includes both structured and unstructured data. The volume of data, the variety of data types and the velocity at which the data has to be processed are the three main V’s in big data concept.
Mannya uses big data to help the user visualize the data, source it and processing information. This analysis maintains transparency and accuracy.
Mannya uses big data to:
Mannya analytics services help gain insights into emerging trends through the analysis of business data. Our solutions help businesses make informed decisions based on data-driven insights — all this while considerably reducing the need for IT resources and budgets. Additionally, we offer continued support and enhancements through a scalable and flexible model to ensure optimal user experience.