Feature
The DSS platform is built upon DB systems of unstructured, structured, and big data; exchanging and integrating data streams from the three DB systems and utilizes that for decision making support. DSS also interfaces with the Data Warehouse by taking advantage of its well-defined dimensions and its associated data cubes. As such, within DSS infrastructures, users are able to submit analytical queries against real-time or historical data with ease. Further aggregated data cubes and dimensional structures can be achieved when queries are submitted against larger and larger volumes of data.
Big Data platform is a new trend, it embedded within a type of infrastructure which is not only capable of storing the Big volumes of data either in structured or unstructured forms, but also with the abilities of locating, calculating and analyzing a specific piece of data out of Big volumes with Values and Velocity. Primarily, Hadoop and Map Reduce is the main stream technology used in Big Data platform.
Big Data Platform has the following special features:
1.Real-Time data inquiry and data loading.
2.Its own Data Base Design and administrative Tool kits.
3.Column based storages with its unique analytical search methodologies resulting 50~1000 times faster than the traditional Row based storage database.
4.High efficient rates of compression/decompression against Data, thus gaining storage advantages.
5.Unlimited scalabilities by nature of Massive Parallel Processes design.
6.High Availability infrastructures, cluster of nodes with fault tolerance.
7.Full integration with BI, ETL & Hadoop/Map Reduce.
