The unprecedented and growing amount of data available today offers both opportunities and challenges. The opportunities lie in the ability to apply advanced analytical techniques e.g. to uncover new correlations, trends and patterns. The challenges range from the methods and costs for storage and retrieval, the time required to merge real-time and static data, combining multiple and evolving data sources to enforcing and auditing data quality.
The Information Grid was developed to address a number of repeating challenges we have faced over years of designing large-scale systems that feature a range of statistical functionality:
Luminis’ Information Grid addresses these issues with its polyglot storage architecture, which supports a wide range of information-centric features, including schema evolution, auditing and provenance control. It also supports data “time travelling” as illustrated by this application, which shows how the Information Grid can visualise student performance over time.