Data Warehouse (DWH) solution
BTG staff is skilled in the implementation of complex systems such as complete centralized Data Warehouse solutions based on a DWH system, business intelligence software tools and advanced data storage systems.
Clients include a large bank in Riga, Latvia
Big Data is a general term used to describe the voluminous amount of unstructured and semi-structured data a company creates -- data that would take too much time and cost too much money to load into a relational database for analysis.
Big data analytics can be accomplished with software tools commonly used as a part of advanced analytics disciplines such as predictive analytics and data mining. However, the unstructured data sources used for big data analytics may not fit in traditional data warehouses. Furthermore, traditional data warehouses may not be able to handle the processing demands posed by big data. As a result, a new class of big data technology has emerged and is being used in many big data analytics environments.
BTG partner Greenplum’s DWH is built to support Big Data Analytics. Greenplum DWH manages, stores, and analyzes Terabytes to Petabytes of data. Users experience 10 to 100 times better performance over traditional RDBMS products – a result of Greenplum’s shared-nothing MPP architecture, high-performance parallel dataflow engine, and advanced gNet software interconnect technology. (www.gopivotal.com)
BTG has more than 5 years’ experience working with ETL job tasks for Teradata and with Greenplum DWH solution and data mining tools.
BTG staff and consultants are skilled in providing statistical analysis for clients.
For more information regarding BTG’s analytics and information management services, please contact us here.