iFusion works in concert with multiple data collection solutions – both enterprise and open source – to allow you to collect the different kinds of data coming into the system. It works with a number of different plug-ins to accommodate different types of data. iFusion identifies the type of data and decides on the best way to store it in its data store. iFusion installs and configures different plug-ins and tools to meet the requirements of your use case.
Data Science Workbench takes the pain away from data the scientist / analyst to collect the data, prepare the data, classification of data, picking an algorithm to train a data model and finally preparing a model for prediction. All these steps can done by you through a web browser and not by writing any code, and save you up to 60% of your time. The machine learning / AI algorithms are written to take advantage of the parallelism and distributed computing to process large amounts of data and generate higher accuracy data models. While the Data Science Workbench comes with rich set of data preparation, predictive and prescriptive algorithms, it also allows you to add your custom algorithm to the system and use it the workflow. This flexibility gives extensibility to the system to meet your growing needs.
iFusion allows you to have a transparent, unified view of your data, irrespective of where it is stored. You may have your data stored in one or more of the following – Federated HDFS, in-memory database Spark engine, RDBMS servers, NoSQL data stores or machine-generated data. Based on the query, iFusion will retrieve data from one or more stores and present it to you in the familiar table format.
iFusion’s Orchestrator lets you configure all your jobs through the web browser. Using the scheduler, you can define when and at what intervals to execute various jobs.
iFusion’s Orchestrator works behind the scenes to coordinate the sequence and flow of jobs. It enables data preparation and training by running the algorithms repeatedly to identify and remove false positives. This results in dependable analytics results.
iFusion Data Store is comprised of federated data stores. These data stores can contain structured data (RDBMS), unstructured data, or semi-structured data. iFusion will be able to provide a unified view of the data across all data stores configured with iFusion. This federated datastore architecture eliminates unnecessary copying of data to a central data store before processing. iFusion’s unique tiered-storage model lets you store large amounts of data without compromising on retrieval times. You can archive data to low cost storage using iFusion tiered-storage. You can submit a single query accessing data across one or more federated data stores, archived and online data seamlessly. Its open architecture allows it to interface with systems such as EMC ECS, NAS, SAN and S3 from Amazon.
This component allows iFusion to interoperate with external systems to deliver specific functionality. These include Directory Services – AD/LDAP for user authentication, intelligent storage, to manage ageing data at an effective cost; communication mechanisms such as email/SMS/web and external accelerators such as data aggregators or computation engines.
Security of data and the access to it, is of paramount importance as increasingly critical operational decisions are being driven by analytical processes. iFusion is especially aware of these requirements and the product is continuously evolving its security stance. Core Security functionality includes.
The core of the above functionality is built on the Apache Hadoop Opensource stack, utilising and enhancing relevant elements to deliver against specific business issues. iFusion has received certification from Hortonworks for the innovative use of their distribution and we are working with other distributions as requirements evolve. Details of our technology partners can be found on our Partners page.