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Get fully solved assignment. Buy online from website www.smuassignment.in online store or plz drop a mail with your sub code [email protected] we will revert you within 2-3 hour or immediate Charges rs 125/subject and rs 500/semester only. if urgent then call us on 08791490301, 08273413412 PROGRAM-Mca SEMESTER-IV SUBJECT CODE & NAME-mca5043– Data Warehousing and Data Mining CREDIT-4 BK ID-B1633 MAX. MARKS-60 Q1. What is a data warehouse? Mention its advantages. Answer: A Data Warehouse is a relational database that is designed for query and analysis rather than for transaction processing. It usually contains historical data derived from transaction data, but it can include data from other sources. It separates analysis workload from Q2. What is metadata? Describe data marts. Answer: Metadata is data that describes other data. Meta is a prefix that in most information technology usages means "an underlying definition or Q3. Differentiate E-R modeling and dimensional modeling. Answer: In the E-R modeling Q4. Explain the relation between data warehousing and data mining. Answer: Relation between Data Warehousing and Data Mining The connection between data warehouse and data mining is indisputable. Popular business organizations use these technologies together. The current section describes the relation between data warehouse and data mining. Data mining is concerned with finding hidden relationships present in business data to allow businesses to make predictions for future use. It is the process of data-driven extraction of not so obvious but useful information from large databases. Data mining has emerged as a key business intelligence technology. Data Mining is a multi disciplinary field drawing works from statistics, database technology, artificial intelligence, pattern recognition, machine learning, 5. Describe K-means method for clustering. List its advantages and drawbacks. 5+5 Answer. K-means method for clustering k-means clustering 6. Describe about Multilevel Databases and Web Query Systems 5+5 Answer. Multilevel Databases and Web Query Systems Multilevel Databases A multilevel database system (MDBMS) supports the application of a multilevel policy for regulating access to the database objects. In this approach at the bottom level database the semi structured data is stored in web repositories as hyper text .The Get fully solved assignment. Buy online from website www.smuassignment.in online store or plz drop a mail with your sub code [email protected] we will revert you within 2-3 hour or immediate Charges rs 125/subject and rs 500/semester only. if urgent then call us on 08791490301, 08273413412