Data warehousing interview questions cover general understanding, level of expertise, processes, and personality. Questions range from general knowledge to complex processes, data mining, and personal fit within a team.
Data warehousing is the technological act of storing large amounts of data for use in reporting. Many different industries utilize this technology, and warehouses are often set up the same way. Since warehousing is similar in all respects, the data warehousing interview questions are very straightforward. Respondents can expect to be asked about a general understanding of data warehousing, level of expertise, understanding of various processes, and questions that reveal the personality of the respondent.
Gaining a better understanding of a respondent’s general storage knowledge is a big part of data warehousing interview questions. These questions will involve general terms and practices to ensure that the person being interviewed has the appropriate level of experience to handle the job. Interviewers often ask what the difference is between online analytical processing (OLAP) and online transaction processing (OLTP); these two processes are key elements of storing data. Another general knowledge question is asking what a lookup table is used for or what does a database operational store (ODS) do.
Data warehousing is a complex process; data warehouse interview questions often probe the respondent to determine what level of complexity they understand. A question asking why data and dimensional modeling are important is a common one, because these processes are essential for proper information storage. Asking why designing an OLTP database is not a good idea is another tricky question designed to test the respondent’s knowledge of the entire process.
As data mining is an important part of warehousing, it is expected that the interviewee will receive many interview questions about this process. Asking about the advantages of data mining over more traditional methods is a likely question. Interviewers are also often curious about specific processes that involve data mining. A potential job seeker may have to give an example of when data mining has been used in a work situation and the outcome of the project. Interview questions can also be switched; instead of asking for a positive experience, the candidate can be asked what they don’t like about mining and how it can be changed.
Personal information is another likely topic of data warehouse interview questions. In most situations, this will not involve questions about work and family life, but how a respondent’s personality fits into the team. Issues such as how the individual copes with stress and pressure are common and often require examples. Asking the respondent to list strong skills and weaknesses is another common personality question.
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