Sex chat live europa girl Consolidating data warehouses

Data consolidation refers to the collection and integration of data from multiple sources into a single destination.During this process, different data sources are put together, or consolidated, into a single data store.Because data comes from a broad range of sources, consolidation allows organizations to more easily present data, while also facilitating effective data analysis.

Columns Why Teradata Enterprise data integration breeds a system that avoids data mart multiplicity.by Roger Mann Organizations buried by replicated data, inconsistent information and the inability to respond to new requests in a timely manner are typically companies that have decided not to integrate their corporate data.Faced with increasingly constrained budgets, these organizations create what they think are cost-saving data marts.Now, forward-thinking business leaders are recognizing that a consolidated enterprise data warehouse (EDW) saves a company time, money and customers.A corporate enterprise data strategy recognizes that data is a valuable resource.

The key is that IT must adopt two important rules, summed up as The first rule establishes that an extract, transform and load (ETL) process is used to consistently and accurately move the data only once into a high-performance repository.Data is then used, without replication, in many places by any application or tool.Accomplishing this requires a normalized physical schema.The consistency and accuracy valued in this strategy demands a logical data model (LDM) to define data and its usage based on business rules and user requirements.The operative word, “logical,” means the data model is independent of any physical schema or database technology.The LDM becomes the strategic blueprint for planning and building the integrated enterprise data repository.