Data warehouses

Databases

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

ETL

Extract, transform and load data, handle historic data

Datacube, OLAP  

Develop new cubes or extend existing ones

Big data

HDFS, Hive, HBase...

 

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