In this Data Warehousing course you will learn:
• what the Data Warehouse concept is and why should we use it.
• what ETL is.
• fact table.
• types of facts, dimension and dimension tables.
• data mart, anomaly, data warehouse architecture.
• data modelling, attributes and entities.
• job scheduling and data quality.
When you complete this Data Warehousing course you will be able to use current and historical data for creating analysis reports that are useful for studying and forecasting behavior on your own enterprise.
Programa del curso
Clase 1: Data warehousing tutorial - 1 | data warehousing tutorial for beginners - 1 | edureka
Clase 2: Data warehousing tutorial - 2 | data warehousing tutorial for beginners - 2 | edureka
Clase 3: Why data warehouse | data warehouse concept | data warehouse tutorial | edureka
Clase 4: Data warehouse tutorial for beginners | data warehousing concepts | edureka
Clase 5: What is extract transform load (etl)? | edureka
Clase 6: Data warehouse | introduction to data warehouse | data warehouse tutorial for beginners | edureka
Clase 7: Demo on data warehousing | data warehouse concepts | data warehouse tutorial | edureka
Clase 8: Data warehouse fact table | data warehouse tutorial for beginners | edureka
Clase 9: Types of facts in data warehousing | edureka
Clase 10: Understanding dimension table in data warehousing | data warehouse tutorial | edureka
Clase 11: Dimension table | data warehouse concepts | data warehouse tutorial for beginners| edureka
Clase 12: Types of dimension in data warehousing | edureka
Clase 13: Understanding data mart | datawarehousing | edureka
Clase 14: Understanding anomaly in datawarehousing | edureka
Clase 15: Data warehouse architecture | data warehouse tutorial for beginners | edureka
Clase 16: Different types of constraints in datawarehousing | edureka
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