Fragma provides full suite of Big Data Technology Services including solution deployment, integration and monitoring of platforms. The Big Data Technical Support team helps enterprises perform operational monitoring and resolve issues with troubleshooting. These services are provided through a team of professionals with rich experience in deploying and supporting mission critical technology platforms and applications in some of the largest IT infrastructures. The Data Governance and Model Optimisation team also supports iterative experimentation with analytics models and facilitates development of custom analytics models.
Help lay or augment the enterprise data foundation so a range of analytics solutions can be built on top. Economic storage for data to be loaded in native or near native format. Designed for schema-on-read to support the creative investigation of data scientists for advanced analytics initiatives.
Facilitate production grade end-to-end pipeline of data-to-value that takes data solutions from sandbox environments, and rolls them out to end users.It is used to automate the movement and transformation of data. In computing, a pipeline is a set of data processing elements connected in series, where the output of one element is the input of the next one. The elements of a pipeline are often executed in parallel.
Streaming analytics also called real-time analytics is comparatively new. Stream processing analyses and performs actions on real-time data through the use of continuous queries. Streaming analytics connects to external data sources, enabling applications to integrate certain data into the application flow, or to update an external database with processed information.
We provide End to End Architecture for an enterprise setup like Cluster Design,Network, Storage and Information Security. We provide analytics as a software service, enabling customers to access them programmatically, marrying this functionality with their own applications. This makes it possible to quickly build analytics services that meet evolving business needs without having to invest in complex, expensive hardware infrastructure that may go unused for large parts of the day. We support Workflow automation, integration with legacy systems, and analytical and content applications.