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 Warehousing and Business Intelligence (Momentary Look)
Key Steps in DW/BI Implementation in Data Warehousing and Business Intelligence Data Warehousing and Business Intelligence Requirements: Development of Data Warehouse and Data Marts Business Intelligence Implementation and User Management …
Document and Content Management (A Glance)
Planning for Content and Records Management Structuring and Managing Content Publishing and Access Essential Tools for Document and Content Management Standard Formats and Technologies Governance and Quality Control
Data Management – Records/Document Retention and Disposal
Importance of Clear Policies and Procedures Effective Document / Records management requires clear policies and procedures, especially regarding retention and disposal of records. A retention and disposition policy will define …
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 – Data Profiling
Understanding Data Content and Structure Understanding Data Content and Structure is essential for Data Governance, Data Architecture, Data Modeling and Design, Data Storage and Operations, Data Security, Data Quality, and …
DII – Data Interaction Models – P2P, Canonical and Publish/Subscribe
Data Interaction Models in DII Canonical Model (Hub-and-Spoke) A Canonical Data Model is a common model used by an organization or data exchange group that standardizes the format in which …
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 …
Difference between ETL and ELT
ETL vs ELT ETL – Extract, Transform, and Load Central to all areas in Data Integration and Interoperability is the basic process of Extract, Transform, and Load (ETL). Whether executed …