![]() Virtual data warehousing is a strategy used to support analytical decision-making. #PIVOT DATA IN TABLEAU PREP ARCHIVE#They transform and merge source data into a temporary store, back up the data to the data warehouse, and archive data when it reaches the end of its useful life.Īns. A warehouse manager performs referential integrity and consistency checks, creating business views, indexes, and partition views based on the underlying data. What are the main responsibilities of a warehouse manager?Īns. Partitioning is employed for several reasons, such as facilitating backup and recovery processes, improving performance by reducing data retrieval time, and simplifying the management of large datasets. Why is partitioning used in a Data Warehouse?Īns. It contains relevant and insightful data for that specific group, providing them with focused and easily accessible information. A data mart is a subset of an organization's data specifically tailored to the needs of a particular group or department within the organization. There are five stages in the ETL (Extract, Transform, Load) testing process: requirement and data source identification, data acquisition, implementation of business logic, data building and publishing, and reporting.Īns. What are the different phases of testing in a data warehouse project?Īns. On the other hand, divisive hierarchical clustering is a top-down approach where clusters are divided or split into smaller clusters until each cluster contains only one object. Agglomerative clustering is a bottom-up approach where clusters are formed by merging individual objects or smaller clusters into larger clusters. What is the difference between agglomerative clustering and divisive hierarchical clustering?Īns. This design simplifies querying and reporting in a data warehouse environment. It comprises a central fact table surrounded by multiple-dimension tables, forming a star-like structure. In the context of data warehousing, a Star Schema organizes tables to facilitate easy data retrieval. #PIVOT DATA IN TABLEAU PREP HOW TO#Rule-based: This approach follows predefined rules to determine how to execute a query.Ĭost-based: This approach focuses on finding the most efficient way to execute a query by considering the statistical information and estimating the cost of different execution plans.Īns. The optimizer employs two main approaches for executing a query: What are the different approaches used by the optimizer during the execution plan?Īns. ![]() It shows the structure of the tables and the connections between them. An ER (Entity-Relationship) diagram is a graphical representation that illustrates the relationships between different entities (tables) within a database. How would you define an ER diagram in the context of data warehousing?Īns. It includes information such as the data structure, data types, column ordering, and other characteristics that describe the data in the warehouse. ![]() Metadata refers to data about the data itself. Can you explain what metadata means in the context of a Data Warehouse?Īns. ![]() It makes retrieving data easier and faster than the original table, which may have a larger number of records. An aggregate table is a table that contains pre-grouped data from the warehouse. What is the purpose of an aggregate table in a Data Warehouse?Īns. The questions range from basic to advanced levels, so newcomers and experienced professionals can benefit from them. We have compiled a list of data warehouse interview questions that can assist you in preparing for your next interview. If you have a passion for working with large amounts of data and managing databases, a career in data warehousing could be a perfect fit for you. It is a fundamental component of the Business Intelligence (BI) field, making Data Warehouse Analysis a highly desirable career option in today's job market.Īspiring candidates willing to start their career in a data warehouse must check out data warehouse interview questions companies commonly ask. A data warehouse is crucial in managing collected data and extracting valuable business insights. ![]()
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