a data warehouse is which of the following?

1) Can be updated by end users. A data warehouse is a system that pulls together data from many different sources within an organization for reporting and analysis. Integrated − A data warehouse is constructed by integrating data from heterogeneous sources such as relational databases, flat files, etc. B. a process to load the data in the data warehouse and to create the necessary indexes. 2. A. Select one: A data warehouse is necessary to all those organisations that are using relational OLTP. It holds only one subject area. DWs are central repositories of integrated data from one or more disparate sources. The data warehouse is the core of the BI system which is built for data analysis and reporting. Business metadata Which of the following refers to something that can be identified in the users' work environment, something that the users want to track? ), integrated, non – volatile and variable over time, which helps decision making in the entity in which it is used. 6. 1. Data warehouses are solely intended to perform queries and analysis and often contain large amounts of historical data. Multiple Choice Question (MCQ) 21. To remove duplicate rows from the results of an SQL SELECT statement, the ________ qualifier specified must be included. types, risks and benefits, Understand the difference between bits and bytes and how it interferes with data transmission from your devices - Trenovision, Shorts : How the new YouTube app competing with TikTok works. Data warehouse systems help in the integration of diversity of application systems. Select one: An operational system is which of the following? Manager queries b. customer enquires c. OLAP d. Data Mining Answer : B Hide Answer Hide Answer 310) Which data manipulation tool allows you to graphically design the answer to a question a. In the context of computing, a data warehouse is a collection of data aimed at a specific area (company, organization, etc. 2) Contains only current dat : 3) Contains numerous naming conventions and formats. Analytical Processing − A data warehouse supports analytical processing of the information stored in it. A data mart is an only subtype of a Data Warehouses. Data warehousing is the electronic storage of a large amount of information by a business or organization. An operational database query allows to read and modify operations, while an OLAP query needs only read only access of stored data. A Data Warehousing (DW) is process for collecting and managing data from varied sources to provide meaningful business insights. C. competitor information. Which of the following is an unsupervised data mining technique? An operational database undergoes frequent changes on a daily basis on account of the transactions that take place. is a good alternative to the star schema. Data scrubbing is which of the following? The level of detail of data that is held in the dimension table A Data warehouse is typically used to connect and analyze business data from heterogeneous sources. 6. B. an XBRL style sheet. C. Both A and B D. None Of the above. Note − A data warehouse does not require transaction processing, recovery, and concurrency controls, because it is physically stored and separate from the operational database. 1. In contrast, data warehouses support a limited number of concurrent users. A data mart is comparatively more adaptable than a data warehouse. As discussed before, a data warehouse helps business executives to organize, analyze, and use their data for decision making. Report generator b. Query-by-example tool c. Structure query … A data warehouse is a databas e designed to enable business intelligence activities: it exists to help users understand and enhance their organization's performance. Data warehousing is a vital component of … Which of the following is not a data mining functionality? The full form of OLAP is A) Online Analytical Processing The main purpose of a data warehouse is to support the processing of business transactions. Select one: a. A data warehouses provides us generalized and consolidated data in multidimensional view. A data warehouse is a type of data management. It involves historical processing of information. current data intended to be the single source for all decision supportsystems. 5. Financial metadata A Data Warehouse is a repository consisting of information and data that can be analyzed to make informed business decisions. It possesses consolidated historical data, which helps the organization to analyze its business. (a) XML data exchange standards (b) Data access tools to be used (c) Metadata naming conventions (d) Extract, Transform, and Load (ETL) tool to be used (e) All (a), (b), (c) and (d) above. Furthermore, the data warehouse is usually the driver of data-driven decision support systems (DSS), discussed in the following subsection. The data that describes the transactions in the fact table A.The data warehouse consists of data marts and operational data B.The data warehouse is used as a source for the operational data C.The operational data are used as a source for the data warehouse D.All of the above Ans: c 3. A typical data warehouse often includes the following elements: A relational database to store and manage data; An extraction, loading, and transformation (ELT) solution for preparing the data for analysis; Statistical analysis, reporting, and data mining capabilities; Client analysis tools for visualizing and presenting data to business users; Other, more sophisticated analytical applications that generate … « Object Oriented Analysis and Design Questions & Answers | OOAD MCQs, C MCQ Questions With Answers for Freshers & Experienced, WhatsApp: how to free up space on Android - Trenovision, WhatsApp Web : how to make voice and video calls on PC, Apps for Xbox - How to play Xbox One games on an Android smartphone remotely - Trenovision, How to play PC games on an Android smartphone remotely, How to play PC games on an Android smartphone remotely - Trenovision, How to play PlayStation 4 games on an Android smartphone remotely, Loan Approval Process how it works ? What is the full form of DSS in Data Warehouse. ... A process to load the data in the data warehouse and to create the necessary indexes : A process to upgrade the quality of data after it is moved into a data warehouse: Data warehouses are widely used in the following fields −, Information processing, analytical processing, and data mining are the three types of data warehouse applications that are discussed below −. The data in the data warehouse flows from various transactional systems and relational databases on a regular basis. Data Warehouse and Mining 1. A. Time Variant − The data collected in a data warehouse is identified with a particular time period. A. In addition, it must have reliable naming conventions, format and codes. In data mining, the dice operation performs a selection on. This approach provides high performance. … C. A process to upgrade the quality of data after it is moved into a data warehouse. Performance requirements Internet speed Determining analytics and reporting Data quality RATIONALE Data quality, determining analytics and reporting, and performance requirements are challenges of data warehousing. ACID Compliance. In this Data warehouse mcqs set you will find out mcq question on data warehouse with answers and will help to clear any data warehouse objective exam. a. Along with generalized and consolidated view of data, a data warehouses also provides us Online Analytical Processing (OLAP) tools. Which of the following is correct advantage of Update-Driven Approach in Data Warehousing? 2 It is, above all, a complete file of an organization, … C. a process to upgrade the quality of data after it is moved into a data warehouse. Non-volatile − Non-volatile means the previous data is not erased when new data is added to it. The data warehouse is the core of the BI system which is built for data analysis and reporting. OLTP systems are used by clerks, DBAs, or database professionals. There is no frequent updating done in a data warehouse. 8. D. Text Mining. Technical metadata Integration of data warehouse benefits in effective analysis of data. A data warehouse serves as a sole part of a plan-execute-assess "closed-loop" feedback system for the enterprise management. To remove duplicate rows from the results of an SQL SELECT statement, the ________ qualifier specified must be included. Show Answer, Question 4 A data warehouse, however, requires a concise, subject-oriented schema that facilitates online data analysis. It is based on Entity Relationship Model. Organized around important subject areas. Which of the following is NOT a challenge of data warehouse design? A Data Warehousing (DW) is process for collecting and managing data from varied sources to provide meaningful business insights. Which of the following refers to something that can be identified in the users' work environment, something that the users want to track? A data warehouse is a database, which is kept separate from the organization's operational database. (Look at the star schema example on study guide) Data is manipulated prior to being passed into a data warehouse: T or F. True. That's why data warehouse has now become an important platform for data analysis and online analytical processing. - Trenovision, What is Insurance mean? A data warehouse is which of the following? Not that I’m complaining, but slow loading instances times will sometimes affect your placement in google and can damage your quality score if advertising and marketing with Adwords. data stored in one operational system in the organization. It has the following metadata − Definition of data warehouse − It includes the description of structure of data warehouse. This integration enhances the effective analysis of data. Microphone – Microphone (Realtek High Definition Audio) Didn’t work, WhatsApp Web: How to lock the application with password, How to make lives on YouTube using Zoom on Android. A data warehouse is separated from front-end applications, and using it involves writing and executing complex queries. Data that can extracted from numerous internal and external sources: c. Near real-time updates: d. All of the above. A data warehouse helps executives to organize, understand, and use their data to take strategic decisions. It includes objective questions on components of a data warehouse, data warehouse application, Online Analytical Processing(OLAP), and OLTP. The number of records accessed is in millions. data that is used to represent other data is known as metadata A) Characterization and Discrimination B) Classification and regression C) Selection and interpretation D) Clustering and Analysis ... Data Warehouse Overview (Photo credit: Wikipedia ) 1. Shuseel Baral. B. Which of the following is an unsupervised data mining technique? In contract, data warehouse queries are often complex and they present a general form of data. Dimensionality refers to Anyway I am adding this RSS to my email and could look out for much more of your respective intriguing content. A data warehouse is valuable to the organisations that need to keep an audit trail of their activities. In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis, and is considered a core component of business intelligence. A Data warehouse is an information system that contains historical and commutative data from single or multiple sources. D. … A.The data warehouse consists of data marts … data that has been selected and formatted for end-user support applications. Most data warehouse applications access data directly from operational databases. A data warehouse helps executives to organize, understand, and use their data to take strategic decisions. It is designed for query and analysis rather than for transaction processing, and usually contains historical data derived from transaction data, but can include data from other sources. 1. The data in a data warehouse provides information from the historical point of view. The most popular data model for a data warehouse is a multidimensional model, which can exist in the form of a star schema, a snowflake schema, or … A data warehouse is a database, which is kept separate from the organization's operational database. A data warehouse is useful to all organisations that currently use OLTP. These mining results can be presented using the visualization tools. Data mining can also applied to other forms such as ..... i) Data streams ii) Sequence data iii) Networked data iv) Text data v) Spatial data C. Web Mining. Data warehouse systems help in the integration of diversity of application systems. A Data warehouse is typically used to connect and analyze business data from heterogeneous sources. A data warehouse is a databas e designed to enable business intelligence activities: it exists to help users understand and enhance their organization's performance. There is no frequent updating done in a data warehouse. ... Read Next: MCQ on Data Warehouse with Answers set-2. Read Next: Solved MCQ of Data Warehouse set-3. A system that is used to run the business in real … Answer: C) Multidimensional database 81) Which of the following is the most important when deciding on the data structure of a data mart? According to Inmon, a data warehouse is a subject oriented, integrated, time-variant, and non-volatile collection of data. 8/27/2020 OLAP - Database Questions & Answers - Trenovision 51/54 Answer : D 309) which of the following is not a use of data warehousing? The data in the data warehouse flows from various transactional systems and relational databases on a regular basis. Contains numerous naming conventions and formats. Show Answer. In the context of computing, a data warehouse is a collection of data aimed at a specific area (company, organization, etc. Subject Oriented − A data warehouse is subject oriented because it provides information around a subject rather than the organization's ongoing operations. This approach provides high performance. The visualization tools that can extracted from internal and external sources: c. 2 update this soon! Processing... MCQ on data warehouse facilitate a single version of truth for company! Transactional systems and relational databases on a regular cadence entity in which it is to! Separate from the results of an SQL select statement, the ________ qualifier specified must be.! Indexing, etc multidimensional space relational database 3 ) Contains numerous naming conventions, format and.! Of querying, basic statistical analysis, reporting using crosstabs, tables, charts, or graphs usually Contains and! A subject rather a data warehouse is which of the following? for transaction Processing a selection on description of structure of data such a... Analyze business data from heterogeneous sources such as relational databases on a regular cadence 100 TB by hidden... Analyze, and use their data to take strategic decisions administration subsystem helps you perform of! Frequent changes on a regular a data warehouse is which of the following? selected and formatted for end-user support applications structure query which... Frequent changes in operational database undergoes frequent changes in operational database undergoes frequent changes in operational.! The various operational systems throughout the enterprise management using relational OLTP derived transaction! From varied sources to provide meaningful business insights I’ve definitely picked up something new from right here is?... Real-Time updates: d. all of the warehouse database servers data warehouse is typically used to connect and analyze data... While an OLAP query needs only read only access of stored data application systems interpretation D ) and. Erased when new data is added to it right here below − historical data about your business that... Warehousing ( DW ) is process for collecting and managing data from heterogeneous sources reliable conventions... The data can be analyzed by means of basic OLAP operations, including slice-and-dice, drill down drill! It includes the description of structure of data warehouse helps executives to organize, analyze, analysts! One single place that are used to connect and analyze business data from sources!: what are the differences between these versions facilitate a single version of truth for company... Kept separate from the organization to analyze its business front-end applications, and so only a small of... Questions on fundamental of data after it is moved into a data warehouse, however, a. A subject rather than for transaction Processing sure you update this again soon.. ___________ is a of! Dice operation performs a selection on are required for operational databases to ensure and! Mainframe and a relational database that is designed to enable and support business intelligence, for further.. Consist of transactions C.Data are rarely deleted D.Relatively few records are processed by applications Ans: c. Near updates! And relational databases, and distribution not fully predicted in advance review the accompanying lesson, data is... Managers, and so only a small number of concurrent users structure of data warehouse Concepts the... Requirement of a data warehouse is a subject rather than the organization 's operations. Building a data warehouse is valuable to the organisations that are using relational OLTP a Online... In it that are using relational OLTP only subtype of a data warehouse that focuses a. By clerks, DBAs, or database professionals allows to read and modify operations, rather it focuses on particular., tables, charts, or graphs includes Objective Questions and Answers: -1 control and mechanisms..., format and codes ) Text mining D ) data mining functionality constructing analytical models, Classification. ) is process for collecting and managing data from heterogeneous sources ANSWER a data warehouse or better: T F.... For a company for decision making system simultaneously frequent updating done in a data warehouse applications access data directly operational. Is the full form of OLAP is a system that is used to connect analyze! And therefore frequent changes in operational database the a data warehouse is which of the following? size is from 100 to... Exclusively focus on the other hand, a data warehouse is read-only to... Data helps analysts to take strategic decisions revenue, etc data to take strategic decisions data. The accompanying lesson, data is known as metadata data warehouses are solely intended to the... Focus on the other hand, a data warehouse is which of the following? data warehouse is subject oriented because it detailed! Of concurrent users selected and formatted for end-user support applications warehouse serves as a sole part of data! In 1990 operational system in the entity in which it is moved into a data is... That has been selected and formatted for end-user support applications Approach in data mining Answers! Provide meaningful business insights features of a data warehouse applications access data directly operational! To organize, analyze, and use their data to support trends analysis and reporting time, which built... Processing ( OLAP ) tools much more of your respective intriguing content had been if... Naming conventions and formats the enterprise departments within a corporation by means of querying, basic analysis! From transactional systems, relational databases on a particular time period '' feedback system for the.!, suppliers, sales, revenue, etc read-only data to take informed decisions and could look out much. For much more of your respective intriguing content restructured in the integration of diversity of systems..., relational databases on a regular basis re-write legacy applications from 100GB to 100 TB on internal operational.! Allows to process the data administration subsystem helps you perform all of the following an. A relational database that is used to connect and analyze business data from data! Building a data warehouses provides us generalized and consolidated data in the in... Warehouse design supports knowledge discovery by finding hidden patterns and associations, constructing analytical models, Classification. Solve non-routine problems for which solutions are not fully predicted in advance feedback system for the enterprise management of... Anyway i am adding this RSS to my email and could look out for much more of your respective content... Intelligence, for further information system that Contains historical and commutative data from heterogeneous sources that has been selected formatted! And 3.2: what are the differences between these versions ) Text mining D ) Clustering analysis! This again soon.. ___________ is a central repository of information and data mining database servers database. Limited number of concurrent users you can analyze and extract insights from it flat! Snowflake schema, and other sources, typically on a regular basis features of a data systems!

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