DW - Data Warehousing & Modeling

02 Jun 2015 Tuesday
The IBM Connect event brings together the former events known as SolutionsConnect and BusinessConnect. The agenda is build around Cloud, Analytics, Commerce, Systems and Security and targets professionals in Finance (Risk/Legal), Marketing &...

Data scientist

A data scientist is a job title for an employee or business intelligence (BI) consultant who excels at analyzing data, particularly large amounts of data, to help a business gain a competitive edge. To do so, the employee is using statistical & data mining techniques.

Data quality

Data quality pertains to aspects such as availability, completeness, accuracy, consistency, relevance and timeliness of data. High data quality is essential to business intelligence’s role as a means of decisional support. 

Poor data quality examples: missing fields, old or inaccurate information, data conflicts, inaccessible data in legacy systems.

Data Mashup

A data mashup is the integration of heterogeneous digital data from multiple sources for business purposes.

Data mapping

Data mapping is a process of defining a link between two distinct data models. It is used in software engineering to describe ideal ways to represent and access any form of information. It is used in data warehousing by linking source data models to target data models and additional for describing any transformations between these two models.

Data Latency

Data latency, in a data warehouse context, is the time between the creation of data in a source system and the exact time at which the same data is available for end users on the business intelligence platform.


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