Data warehousing questions

  • What are 5 factors to consider in data warehousing?

    A typical data warehouse has four main components: a central database, ETL (extract, transform, load) tools, metadata, and access tools..

  • What basic questions are important when designing a data warehouse?

    4 Stages of Data Warehouses

    Stage 1: Offline Database.
    In their most early stages, many companies have Data Bases. Stage 2: Offline Data Warehouse. Stage 3: Real-time Data Warehouse. Stage 4: Integrated Data Warehouse..

  • What kind of questions are in a warehouse?

    Before diving into the interview questions, let's begin by understanding the data warehouse's overview.
    A data warehouse is a system to collect and manage extensive data from multiple sources, such as transactional systems, log files, and external data sources.Jul 31, 2023.

  • Data flows into a data warehouse from transactional systems, relational databases, and other sources, typically on a regular cadence.
    Business analysts, data engineers, data scientists, and decision makers access the data through business intelligence (BI) tools, SQL clients, and other analytics applications.

Here are some potential in-depth questions:

  1. What are the types of data warehouses?
  2. Can you describe the steps in the data warehousing process?
  3. Can you tell me the difference between a data warehouse and a data lake?
  4. What does data purging mean as it relates to data warehousing?
  5. Describe some of the key features of our company's main extract transform load (ETL) tool.
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