Data Warehouse Interview Questions and Answers. ... Answer the following questions to … Where is the data? Data warehouse size 100-1000 GB, 25 million fact records with five to six dimensions having more than 50,000 members, and one to two SCD's having 1 million records. In any requirements gathering, we need to have good analysts, meaning that they have to be able to ask the right questions, discern if they're getting good information, figure out follow-up questions, and know how to conduct interviews, facilitate sessions, or use whatever other techniques might be appropriate. The data warehouse seeks to publish data widely to decision makers, whereas the security interests assume that data should be restricted to those with a need to know. The Fast Track Data Warehouse Reference Guide for SQL Server 2012 is actually a bit out-of-date especially if you're moving to SQL Server 2016 (really? Create a detailed outline for the formal requirements definition document for a data warehouse to analyze product profitability of a large department store chain. Prakash, N., & Bhardwaj, H. (2014). Unlike in traditional data warehouse architecture, the software automates batch execution and ETL code deployment requirements of the data warehousing process. 1. Springer International Publishing. The data warehouse is the core of the BI system which is built for data analysis and reporting. If a data warehouse has clear and consistent labeling procedures for its dimensions, data will be easy to find and analyze, which leads to easier decision making. The Telco sales organisation is likely to change at a rate between monthly for small changes and annually for large changes. An ETL process to populate the entire data warehouse. design will also influence the costs of maintaini ng the data warehouse with new user requirements. 39–48). A data warehouse is a domain of setting up data. A: A Data Warehousing is the repository of data and it is used for the Management decision support system.It consists of a wide variety of data that has a high-level of business conditions at a single point in time Choosing the right data warehouse for your needs is a crucial step in upleveling your data maturity and becoming more data-driven as a business. A data warehouse is nothing but a collection of all the data that is related to an organization and this data can be used for the data analysis within the organization. A data warehouse automation software offers a code-free and fluid approach to aggregating and moving disparate enterprise data from source systems to a data warehouse and beyond. One of the most frequently asked questions when starting a Data Warehousing initiative is: ... A successful data warehouse implementation boils down to the documentation, design, and the performance of the solution. Ans. Having produced many data warehousing solutions for a variety of customers I can tell you that there is no single methodology which is better than another, just one which is more appropriate to answer the business questions accurately and efficiently, with the correct level of detail to meet the customer’s business requirements. A successful data warehouse assessment approach must provide a roadmap and sufficient structure to accomplish a breadth of analysis, at the right level of detail, in a limited time period. Enforcing data integrity by using Master Data Services. The first set of questions refers to the physical locations in which your organization’s data is stored. Take a closer look at how information is stored and shared across your enterprise. With new user requirements is the core of the BI system which is built for data extraction, transformation and! 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