Data Quality Concepts | Data Quality Tutorial | Data Warehousing Tutorial | Edureka

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Data quality assurance is the process of profiling the data to discover inconsistencies and other anomalies in the data, as well as performing data cleansing activities (e.g. removing outliers, missing data interpolation) to improve the data quality .
These activities can be undertaken as part of data warehousing or as part of the database administration of an existing piece of applications software.

Video covers the following topics :

1.Data Quality Concept
2Error Handling Concepts
3.ETL Summary
4.Data Extraction
5.Data Transform
6.Data Loading
7.What is Data warehouse?
8.Data warehouse Architecture
9.Why Data warehouse is used?

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I didn’t get the part at 8:25 that data warehouse data will be updated next day and users fire a query and won’t get the current data (or transaction data). I thought data warehouse is is historical data and does not get updated right away. So, why would users expect to have current data from DataWarehouse?

jackdaniel