Data warehouses


Data warehouses

Business intelligence

Data Science





In process of building a new datawarehouse it is crucial to survey the current needs so solution can satisfy the actual and upcoming business needs - or at least majority of them.
From the source systems correct data has to be optimaly extracted with filtering duplicated and incorrect data.
However, often an in-memory solution better fits better than a data cube setup with complete datawarehouse process.


Design, survey

Design datawarehouse, survey users


Extract, transform and load data, handle historic data

Datacube, OLAP  

Develop new cubes or extend existing ones

Big data

HDFS, Hive, HBase...