Data Refining is a process that refines disparate data within a common context to increase the awareness and understanding of the data, remove data variability and redundancy, and develop an integrat...
Data Quality Activity is an activity in the data architecture component that ensures the maintenance of high-quality data in an integrated data resource. Data Quality Process is a process that docume...
A good resume will be a ticket to a great career while a badly written one will diminish your chances of getting hired. Your resume needs to have a great impact since you have less than 10 seconds to...
Data Redistribution is the process of moving data replicates from one data site to another to meet business needs. It is a process that constantly balances data needs, data volumes, data usage, and t...
Data Propagation is the distribution of data from one or more source data warehouses to one or more local access databases, according to propagation rules. Data warehouses need to manage big bulks o...
Data Quality indicates how well data in the data resource meet the business information demand. Data quality includes data integrity, data accuracy, and data completeness.
SQL Data Types Overview In SQL, as in many other programming languages, every piece of data has a particular type. For example, 11 is an integer, and GǣWall StreetGǥ is a text string. The SQL standar...
Data Pivot is a process of rotating the view of data. In databases where there is high level volume of data, it is often very difficult to get a view of a particular data or report. A pivot table he...
Data Partitioning is the formal process of determining which data subjects, data occurrence groups, and data characteristics are needed at each data site. It is an orderly process for allocating data...
Data Normalization is a process to develop the conceptual schema from the external schema. In its very essence, data normalization is the process of organizing data inside the database in order to r...