Why Data Criticality Matters for a Successful Data Quality Program Criticality: Data Quality programs should focus on the data most critical to the enterprise and its customers. Priorities for improvement …
OLAP – ROLAP, MOLAP and HOLAP
How OLAP, ROLAP, MOLAP, and HOLAP Work OLAP – Online Analytical Processing It is a technology used to organize large business databases and supports performing complex and multidimensional analysis, at …
Data Warehouse, Data Lake & Data Vault
Understanding Data Lake vs Data Warehouse Data Lake and Data Warehouse both act as repositories, but they are designed for very different purposes. Data Warehouses work best for specific projects …
Data Warehouse Implementation – Guidelines and Principles
Aligning Data Warehouse Projects with Business Goals Importance of Defining End Goals for Data Warehousing Global Data Warehouse Implementation Design with Localized Execution Optimizing Data Summarization Strategies in Data Warehousing …
Data Management – DII (A Momentary Look)
Integrated Data Systems and Interoperability Overview Planning and Analysis Phase in Data Management – DII Designing Data Integration Architecture Interaction Models and Data Services Modeling Hubs and Exchange Patterns in …
Data Management – Manage Versioning and Control
ANSI Standards 859 – Levels of Data Control in Data Management ANSI Standard 859 has three levels of control of data, based on the criticality of the data and the …
DII – Need and Dependency
Data Integration and Interoperability (DII) – Need and Dependency Why DII is Critical for Data Management Functions Data Integration and Interoperability is critical to Data Warehousing and Business Intelligence, as …
Data Management – Security Metrics
Why Security Metrics Matter in Data Management It is essential to measure information protection processes to ensure that they are functioning as required. Metrics also enable the improvement of these …
Data Security – Tools
The Role of Data Security Tools in Information Management Information Security Management depends on the size of the organization, the network architecture, and the policies and standards used by a …