CONDUCT ANALYTICS IN-PLACE
Efficiently channel Big Data sources
Technology executives must find ways to not only streamline existing data processes, but channel Big Data and IoT streams using flexible, open processes, and machine learning technologies to produce meaningful, reproducible insights. The long-term success of the organization depends on their ability to quickly make sense of this new data and make it broadly available.
Pyramid gives users the flexibility to build and materialize models back into our in-memory engine, Microsoft’s Analysis Services, any ANSI SQL-compliant database technology, and various Big Data engines like Apache Presto and Apache Parquet. With this approach, users can build analytics models “in place” rather than extract them to proprietary intermediary engines that are slow and unwieldy.