Erwin data modeler interview questions and answers
It may be passed for further operations and to the Data Warehouse for reporting. Unlike a master data store, the data is not sent back to operational systems. An operational data store (ODS) is a database designed to integrate data from multiple sources for additional operations on the data.Interested in learning more about Data Warehousing? Well, we have an informative blog on Data Warehousing ! The second phase uses an agglomerative hierarchical clustering algorithm to search for the clusters that are genuine and can be combined together with the sub-clusters that are produced.The first phase consists of the graph partitioning that allows the clustering of the data items into a large number of sub-clusters.The method finds the clusters that are used in the dataset using the two-phase algorithm. This representation allows large datasets to be created and operated successfully. This method operates on the sparse graph having nodes that represent data items and edges which represent the weights of the data items. Explain the chameleon method used in Data Warehousing.Ĭhameleon is a hierarchical clustering algorithm that overcomes the limitations of the existing models and methods present in Data Warehousing. Learn business analytics from this professional Business Analyst Certification in Bangalore and get started with your career journey. Learn more about Data Warehousing in this insightful Data Warehouse Tutorial ! Discovery of clusters with attribute shape.Ability to deal with different kinds of attributes.It is used with the pre-processing and other parameters to achieve the properties that are desired to be used. Cluster analysis performs the iterative process of knowledge discovery and includes trials and failures. It includes all the information and knowledge around many fields such as Machine Learning, pattern recognition, image analysis, and bio-informatics. It is used to perform the data mining job using a technique like statistical data analysis. It performs the task of assigning some set of objects into groups, also known as clusters. It analyzes all the data that is present in the Data Warehouse and compares the cluster with the cluster that is already running. What is the purpose of cluster analysis in Data Warehousing?Ĭluster analysis is used to define the object without giving the class label. Data Warehouse supports dimensional modeling, which is a design technique to support end-user queries.Ĭheck the full comparison on Data Warehouse vs Database Blog. In star schema, each dimension is represented by only the one-dimensional table. Star/Snowflake schema and subject-oriented database designĪ database uses a relational model to store data, whereas a Data Warehouse uses various schemas such as star schema and others. Watch this video on Data Warehouse Interview Questions and Answers:ĮR-based and application-oriented database design Advanced Data Warehouse Interview Questions for Experienced Intermediate Data Warehouse Interview Questionsģ. Data Warehouse Interview Questions for FreshersĢ. The Data Warehouse Interview Questions blog is majorly classified into the parts listed below:ġ. What is the level of granularity of a fact table? What is a snapshot with reference to Data Warehouse? Q8. Explain the chameleon method used in Data Warehousing. What is the difference between agglomerative and divisive hierarchical clustering? Q4. What is the purpose of cluster analysis in Data Warehousing? Q3. So, check out the following Data Warehouse interview questions and prepare them for your job interview: Frequently Asked Data Warehouse Interview Questions This Data Warehouse Interview Questions blog has a compiled list of some of the most important questions that companies generally ask during Data Warehouse job interviews. Since it is an important Business Intelligence (BI) field, ‘Data Warehouse Analyst’ is among the most sought-after career options today. A Data Warehouse allows you to collect and manage the data that later helps in providing significant business insights.