What are the steps involved in creating dimensional modeling process?
What is the difference between agglomerative and divisive hierarchical clustering?
What are the key features of chameleon that separates it from other algorithms?
What are the different types of schemas used in data warehousing?
What is the function of etl when used in data warehousing?
What is the purpose of cluster analysis in data warehousing?
Why is business intelligence (bi) important in data warehousing?
What are the different types of fact tables used in data warehousing?
What are the different types of scd's used in data warehousing?
What are the different models used in cluster analysis?
Why facts table is useful in representing the data?
What is the use of dimensional modeling in data warehousing?
What is the function of surrogate key in data warehousing?
Why is chameleon method used in data warehouse?
Why is dimensional normalization not required?