Introduction To Data warehouse Interview Questions and Answer
Preparing for a job interview in Data Warehouse. I am sure you want to know the most common Data warehouse Interview Questions and answers that will help you crack the Data warehouse Interview with ease. Below is the list of top Data warehouse Interview Questions and answers at your rescue.
Following is the list of Data warehouse Interview Questions that are mostly asked in an interview
1.What is data warehouse?
Answer:
Data warehouse is a domain of setting up data. The inspiration for building An information distribution center is that corporate information is regularly scattered crosswise over various databases and potentially in various configurations. Keeping in mind the end goal to get a total piece of data, it is important to get to these heterogeneous databases, acquire odds and ends of fractional data from every one of them, and after that set up together the odds and ends to create a general picture
2.Data warehouse operational systems?
Answer:
Data warehouse operational system gives a prompt spotlight on business capacities and commonly keep running in an online exchange preparing (OLTP) registering condition. The databases related to these applications are required to help an expansive number of exchanges once a day. Regularly operational databases are required to fill in as quick as could be expected under the circumstances. Methodologies for expanding execution incorporate keeping these operational information stores little centering the database on a particular business territory or application
3.Difference between operational system and data warehouse system?
Answer:
The operational system depends on the environment whereas data warehouse system depends on the availability of database contents and its size for processing. Operational system costs expensive to store and distribute data whereas data warehouse system is less expensive and store electronically collected data
4.Application of data warehousing system?
Answer:
Consistent and Quality of data: Data warehouse system is consistent and cost-effective for various industries for collection their customer data through various resources
Cost reduction: A data warehouse system reduce cost by storing all electronically collected data in a data warehouse
Accessibility: A data warehouse system data can have easy access to data time to time for business improvement and reporting.
5.Explain about data warehouse architecture?
Answer:
The data warehouse architecture is based on relational database management system. In the data warehouse architecture, operational data and processing are completely separate from data warehouse processing. This central information repository is surrounded by a number of key components designed to make the entire environment functional, manageable and accessible by both the operational systems that source data into the warehouse and by an end-user query and analysis tools.
6.What is the concept of data transformation in a data warehouse?
Answer:
In a data warehouse, data transformation concept is an extraction of data from the operational system and putting in a suitable format for information application in a data warehouse. Removing unwanted data from operational databases. Converting to common data names and definitions. Calculating summaries and derived data. Establishing defaults for missing data. Accommodating source data definition changes.
7.Expand EIS in data warehouse technology and Brief about it
Answer:
Executive information systems: The tools are used to transform information and present that information to users in a meaningful and usable manner. They support advanced analytical techniques
And free-form data exploration, allowing users to easily transform data into information. EIS tools tend to give their users a high-level summarization of key performance measures to support decision-making.
8.Expand OLAP in data warehouse technology and Explain?
Answer:
Online Analytics Processing: These tools are based on concepts of multidimensional database and allow a sophisticated user to analyze the data using elaborate, multidimensional and complex views. Typical business applications for these tools include product performance and profitability, the effectiveness of a sales program or a marketing campaign, sales forecasting and capacity planning. These tools assume that the data is organized in a multidimensional model, which is supported by a special multi-dimensional database or by a Relational database designed to enable multidimensional properties.
9.What is data mining?
Answer:
Data mining can be defined as the process of discovering meaningful new correlation, patterns, and trends by digging (mining) large amounts of data stored in a warehouse, using artificial intelligence (AI) and/or statistical/mathematical techniques. The major attraction of data mining is its ability to build predictive rather than retrospective models. Using data mining to build predictive models for decision-making has several benefits.
10.Name some data mining tools used in data warehouse system?
Answer
Orange Data mining, R software Environment, WEKA Data Mining, RapidMiner, KNIME.
11.What is data visualization?
Answer:
Data warehouses are causing a surge in popularity of data visualization techniques for looking at data. Data visualization is not a separate class of tools; rather, it is a method of presenting the output of all the tools in such as Orange Data Mining, R Software environment, WEKA Data Mining etc.. a way that the entire problem and/or the solution (e.g. a result of a Relational or multidimensional query, or the result of data mining) is clearly visible to domain experts and even casual observers
12.Name some data visualization tools for presenting data reports?
Answer:
Tableau, ZingChart, Tibco Spotfire, Google Chart, Sigma Plot, Mini Tab
13.Explain in brief Data Mart?
Answer:
Data mart is the concept in a data warehouse for the partitioning the store data of the specific industry. A data mart could be a set of denormalized, summarised or aggregated data. Data mart scan incorporate different techniques like OLAP or data mining. All these types of data marts are called dependent data marts because their data content is sourced from the data warehouse.
14.What are the languages used in Data cleansing?
Answer:
R – Programming language, SQL– Structure Query Language, Advance Excel Macros.
15.How will you do data transformation in data warehouse platform?
Answer:
Data will be transferred by different database tools such MySQL Tools, MS-Access Tools this tools is connected to a server such as SQL Server, Oracle Server. After setting up the environment by using SQL with the support of Shell scripting language will be able to transfer the data to data warehouse system.
16.What are the techniques used in data transformation?
Answer:
SQL: Structure Query Language is mainly used for data transformation. By using a SELECT command of Structure query language and from shell scripting language SCP and SSH command is used to connect to the data warehouse server for data transformation.
17.What are the available tools used in data transformation?
Answer:
MySQL Tools such as MySQL Workbench, MySQL Server, MySQL Clients, MySQL Installer, MySQL Connector, MySQL Migration Tool Kit, MySQL Query Browser, MySQL Administrator, MySQL System Tray Monitor
18.What do you call data warehouse schema?
Answer:
Data warehouse schema is called as a star schema
19.What is the benefit of data warehouse system in business intelligence?
Answer:
Data warehouse system is very much benefited from business intelligence by processing sales report. This sales report can be collected from different sources and stored in a data warehouse for analytics and reporting to understand the business and its improvement. For sales improvement of a business data warehouse, technology is essential.
20.What is the application of data warehouse platform in the healthcare industry?
Answer:
Data warehouse system is very much benefited in Healthcare industry by processing genomic and proteomic analysis. This report can be collected from different sources of patients and stored in a data warehouse for analytics and reporting to understand the disease and its improvement. For better drug and improvement of a drug, data warehouse technology is essential.
21.How can a doctor get benefited from data warehouse technologies?
Answer:
Data warehouse system is very much benefited in hospital industry by processing patient report. This patient report can be collected from different sources and stored in a data warehouse for understanding the disease and understand the patient affected and its improvement. For patient disease improvement and betterment in treatment data warehouse technology is essential to store report and track reports.
22.What is the application of data warehouse platform in political science?
Answer:
Data warehouse system is very much benefited from political science for processing, ID proof tracking and categorizing enrollment of election data. This election report can be collected from different sources of election booth and stored in a data warehouse for analytics and reporting to understand the count of votes and selecting the party for leadership. For economics improvement of a country data warehouse technology is essential.
23.How can a political leader get benefited from data warehouse technologies?
Answer:
Data warehouse system is very much benefited in the political industry by processing voter report. This voter report can be collected from different sources and stored in a data warehouse. For members, performance and improvement in economic data warehouse technology is essential to store report and track reports for risk management, fraud management, facilities to be provided all over the country
24.How can a Banking sector get benefited from data warehouse technologies?
Answer:
Data warehouse system is very much benefited in the banking industry by processing shares, investment report. This financial report can be collected from different sources and stored in a data warehouse.For investors shares performance and improvement in financial growth. Data warehouse technology is essential to store report and track reports for risk management, fraud management and to provide loan’s credit card to get more interest in support to banking sector and industry.
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