A Data Quality dimension is a measurable feature or characteristic of data. The term dimension is used to make the connection to dimensions in the measurement of physical objects (e.g., …
Data Warehouse / Business Intelligence Projects – Critical Success Factors
Business Sponsorship: Is there appropriate executive sponsorship, i.e., an identified and engaged steering committee and commensurate funding? DW/BI projects require strong executive sponsorship. Business Goals and Scope: Is there a …
OLAP – ROLAP, MOLAP and HOLAP
OLAP – Online Analytical Processing It is a technology, used to organize large business databases and supports to perform complex and multidimensional analysis, at high speeds on large volumes of …
Business Intelligence – Reporting and Analysis
Operational Reporting is the application of BI tools to analyze business trends, both short-term (month-over-month) and longer-term (year-over-year). Operational reporting can also help discover trends and patterns. Tactical BI Tool …
Document and Content Management – Information Architecture
Once we talk about Document or Content Management System, the Information Architecture identifies the links and relationships between documents and content, specifies document requirements and attributes, and defines the structure …
Data Quality – Components and Tools
Data Quality Components Data Profiling Data Quality Analysis Validation Data Cleansing Matching Eliminate Errors, Duplications and Inconsistencies Data Quality Monitoring Views, Reports and Dashboards Data Quality Tools Examples Informatica Data …
Big Data – Apache Hadoop – A Glance
Apache Hadoop is a collection of open source framework that is used to efficiently store and process big datasets in a distributed computing environment, ranging in size from gigabytes to …