Data Quality

The primary goal of Data Quality solution is to assemble data from one or more data sources. However, the process of bringing data together usually results in a broad range of data quality issues that need to be addressed. For instance, incomplete or missing customer profile information may be uncovered, such as blank phone numbers […]

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ETL Process and Data Profiling

It involved 4 Phases: Planning, Designing, Implementation and Maintenance Planning involves Understanding of  business requirements and  Identifying the scope of whole DW ( is it for reporting or for creating cube) Understanding the heterogeneous sources from where the data is going to pulled and the destinations to which the data is going  to. Planning for […]

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