Dear Readers, the purpose of these Data Warehousing Interview Questions is to familiarize you with the types of questions that may be asked during your interview on the topic of data warehousing.
A subject-oriented, integrated, time-variant, and nonvolatile data collection that supports management’s decision-making process is known as a data warehouse.
A data warehouse that is subject-oriented stores information about a specific topic, such as a product, customer, sales, etc.
A: OLTP stands for online transactional processing, and OLAP stands for online analytical processing.
An operational database contains the current data needed to run the business, whereas a data warehouse contains historical data that is made available for analysis of the business.
A: Data Extraction, Data Cleaning, Data Transformation, Data Loading, and Refreshing are the tasks carried out by data warehouse tools and utilities.
A : Metadata is simply defined as data about data. To put it another way, metadata is the distilled data that directs us to the detailed data.
A: The definition of a data warehouse, business metadata, operational metadata, information for transferring from an operational environment to a data warehouse, and summarization algorithms are all included in metadata respiratory.
Data cubes enable us to visualize data across multiple dimensions. The data cube is defined by dimensions and facts.
A: The dimensions are the entities that an enterprise maintains records for.
A : Data mart contains the subset of organization-wide data. This subset of data is useful to particular organizational groups. In other words, we can say that a data mart includes information that is particular to a certain group.
A: The phases include IT strategy, education, business case analysis, technical blueprint, build the version, history load, ad hoc query, requirement evolution, automation, and scope expansion.
A load manager carries out the actions necessary to extract and load the process. Between different solutions, from one data warehouse to another, the size and complexity of the load manager varies.
A load manager pulls information out of the source system Fast load the extracted data into temporary data store. Execute basic transformations to create a structure similar to the data warehouse’s
The warehouse management process is overseen by the warehouse manager. Third-party system software, C programs, and shell scripts make up the warehouse manager. There are various solutions, each with a different warehouse manager’s size and complexity.
A: The warehouse manager performs consistency and referential integrity checks, builds indexes, business views, and partition views against the base data. She also transforms and merges the source data into the temporary store into the published data warehouse, backs up the data in the data warehouse, and archives data that has reached the end of its captured life.
A: The section of the data warehouse known as Summary Information is where the predefined aggregations are kept.
A: Relational OLAP, Multidimensional OLAP, Hybrid OLAP, and Specialized SQL Servers are the four different types of OLAP servers.
A: Partitioning is done for a variety of reasons, including easy management, backup recovery assistance, and performance enhancement.
- 1) What is Data Warehouse? …
- 2) What is Business Intelligence? …
- 3) What is Dimension Table? …
- 4) What is Fact Table? …
- 5) What are the stages of Datawarehousing? …
- 6) What is Data Mining? …
- 7) What is OLTP?
Data Warehouse Interview Questions And Answers | Data Warehouse Interview Preparation | Intellipaat
How will you identify the data warehouse project stakeholders?
What methods will you use to elicit business and stakeholder requirements?
Compare a database with Data Warehouse.
| Criteria | Database | Data Warehouse |
| Type of data | Relational or object-oriented data | Large volume with multiple data types |
| Data operations | Transaction processing | Data modeling and analysis |
| Dimensions of data | Two-dimensional data | Multidimensional data |
| Data design | ER-based and application-oriented database design | Star/Snowflake schema and subject-oriented database design |
| Size of the data | Small (in GB) | Large (in TB) |
| Functionality | High availability and performance | High flexibility and user autonomy |
A data warehouse uses different schemas, such as the star schema, whereas a database uses a relational model to store data. Each dimension in the star schema is only represented by a one-dimensional table. Dimensional modeling, a design method to support end-user queries, is supported by data warehouse.
Check the full comparison on Data Warehouse vs Database Blog.
Top Data Warehouse Interview Questions
A data warehouse serves as the organization’s central repository for all of the data used by various departments. It is a repository of integrated data that can be accessed later and used for queries and analysis. After moving the data, it must be cleaned, formatted, condensed, and complemented with information from numerous other sources. And the resulting data warehouse turns into the most reliable data source for creating reports and conducting analyses.
FAQ
What does a data warehouse business analyst do?
Business analysis of the DWH solution, data modeling, and testing of software or application modules that adhere to design specifications are responsibilities. Participate in the execution and documentation of tests required to verify that a technical environment or application satisfies the performance requirements.
What are the 5 components of data warehouse?
A typical data warehouse consists of four main parts: a central database, ETL (extract, transform, load) tools, metadata, and access tools. These parts are all designed to work quickly so you can analyze data immediately and receive results.
What questions are asked in a data analyst interview?
- What data analytics software are you familiar with? …
- What scripting languages are you trained in? …
- What statistical methods have you used in data analysis? …
- How have you previously used Excel for data analysis?
- Explain the term… …
- Can you describe the difference between … ?
What are the 3 models of data warehouse?
4. 1. Enterprise Warehouse, Data Mart, and Virtual Warehouse are 3 examples of data warehouse models. There are three data warehouse models from an architectural perspective: the enterprise warehouse, the data mart, and the virtual warehouse.
