Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi
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?
Related Blogs:
http://www.edureka.co/blog/a-brief-on-etl/?utm_sourceyoutube&utm_mediumreferral&utm_campaigndata-quality-concept
http://www.edureka.co/blog/architecture-of-a-data-warehouse/?utm_sourceyoutube&utm_mediumreferral&utm_campaigndata-quality-concept
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The topics related to ‘Introduction to Dataware Housing’ have been covered in our course ‘Datawarehousing‘. For more information, please write back to us at
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