Denormalization of Data in Star Schemas The star schema’s goal is to speed up read queries and analysis for massive amounts of data contained in … c. ... is a good alternative to the star schema. Star schema overview. The most important difference is that the dimension tables in the snowflake schema are normalized. Yahoo’s data and business intelligence architect, Rohit Chatter, answers the latest debate, Star versus Snowflake schema, by breaking down the differences, one aspect at a time. A. Which operation mainly used to access the live data online and analyse it a. ROLAP b. OLAP c. MOLAP d. The biggest drawback of the level indicator in the classic star-schema is that it limits_____. The correct answer is: Segmentation Question 3 _____ is a good alternative to the star schema. Star schema. Star schema overview. Star schema uses more space. 5. The Star Schema Star schemas are organized into fact and dimension tables. A. quantify. Which of the following applied on warehouse? is a good alternative to the star schema A Star schema B Snowflake schema C. is a good alternative to the star schema. Search Google: Answer: (c). 4. The Star Schema Star schemas are organized into fact and dimension tables. c. 6. The correct answer is: Data, Mining Question 6 Expansion for DSS in DW is Select one: Decisive Strategic System Data Support System, Data Store System Decision Support system Feedback Your answer is correct. In the case of query performance, if you’ve got your star schema loaded on a database like SQL Server, a well-designed star schema will provide a very good query performance. Star schema. What is the Star Schema for Data Warehouse Design. For each star schema it is possible to construct fact constellation schema(for example by splitting the original star schema into more star schemes each of them describes facts on … The biggest drawback of the level indicator in the classic star-schema is that it limits_____. Star schemas are the simplest and most widely used form of data warehouse schema, which makes them a good choice for data warehouses that aren’t overly complicated. In this chapter, we will discuss the schemas used in a data warehouse. A) Data Mining B) Data Warehousing C) Document Mining D) Text Mining 3. Feedback Your answer is correct. C. Fact constellation. The Star Schema data model is the simplest type of Data Warehouse schema. Introducing Textbook Solutions. C. flexibility. While it uses less space. Most business intelligence data warehouses use what is called a dimensional model, where a basic fact table of data e.g. It is also known as Star Join Schema and is optimized for querying large data sets. The correct answer is: Segmentation Question 3 ___________ is a good alternative to the star schema. The correct answer is: Decision, Support system Question 7 A data warehouse is described by which of the following? …………………… is a good alternative to the star schema. A star schema depicts each dimension with only one-dimension table. Fact constellation is a good alternative to the: a. Galaxy Schema: b. Snowflake schema: c. Star Schema: d. None of the above: View Answer Report Discuss Too Difficult! 69) Which of the following is not a component of a data warehouse? When a star schema has many dimension tables, data engineers might refer to it as a centipede schema. Data mining and data warehousing The full form of OLAP is A)Online Analytical Processing B) Online Advanced Processing C) Online Advanced Preparation D) Online Analytical Performance 2. In star schema, Normalization is not used. A directory of Objective Type Questions covering all the Computer Science subjects. This is a really broad question but the short answer is that generally, too many dimensions is bad. The third differentiator in this Star schema vs Snowflake schema face-off is the performance of these models. _____ is a good alternative to the star schema. Star schemas are the simplest and most popular way of organizing information within a data warehouse. C. Fact constellation. While it takes more time than star schema for the execution of queries. 28. sales or support calls is surrounded and linked with other tables holding the dimensions of the fact table. A. Alternatives to star schemas at the top level include a variation, which is a snowflake schema. B. Snowflake schema. The biggest drawback of the level indicator in the classic star schema is that is limits ..... A) flexibility B) quantify C) qualify D) ability. D. Star-snowflake schema. It is structured like a star in shape of appearance. The correct answer is: Organized around, important subject areas Question 8 Data in a data warehouse Select one: in a flat file format can be normalised, but often is not must be in normalised form to at least 3NF must be in normalised form to at least 2NF Feedback, Your answer is correct. exposes the information being captured, stored, and, 67) The type of relationship in star schema is, allows the selection of the relevant information necessary for. School San Francisco State University; Course Title COMPUTER 993; Uploaded By keyur79999. The Star schema is in a more de-normalized form and hence tends to be better for performance. This particular fact table has four main dimensions - Customer, Time, Product and Staff. C. Fact constellation. Along the same lines the Star schema uses less foreign keys so the query execution time is limited. D. Star-snowflake schema. A. B. Snowflake schema. In computing, the star schema is the simplest style of mart schema and is the approach most widely used to develop data warehouses and interdimensional data marts. Course Hero is not sponsored or endorsed by any college or university. supports basic OLAP operations, including slice and dice, 73) The core of the multidimensional model is the. Pages 323. C. Fact constellation. It takes less time for the execution of queries. Entities can include products, people, places, and concepts including time itself. ANSWER: C 29. environment Select one: informational normalized denormalized summary Feedback Your answer is correct. Interestingly, the process of normalizing dimension tables is called snowflaking. A. consists of a large set of facts and a number of dimensions. C. Fact constellation. 28. Select one: Can be, updated by end users Contains only current data Contains numerous naming conventions and formats Organized, around important subject areas Feedback Your answer is correct. Interestingly, the process of normalizing dimension tables is called snowflaking. 1 dimension with 20 attributes is good, 20 dimensions with 1 attribute each is not so good. The star schema is less complex to understand and tends to involve fewer joins than other data warehouse schemas, which makes it optimized for querying large data sets. 74) The data from the operational environment enter, 76) Business Intelligence and data warehousing is used for, data that is never found in the operational, are responsible for running queries and reports against data. The correct answer, is: Fact constellation. B. Snowflake schema. 5. It requires modelers to classify their model tables as either dimension or fact. 71) Data warehouse architecture is based on. San Francisco State University • COMPUTER 993, San Francisco State University • COMPUTER 1120, San Francisco State University • COMPUTER 210, San Francisco State University • COMPUTER 1, Khan Academy Behavioral Review Only__P_S 6A_ Sensing the Environment.txt, Pir mehr Ali Shah Arid Agriculture University, Rawalpindi, Pir mehr Ali Shah Arid Agriculture University, Rawalpindi • IT CS600, University of North Texas, Dallas • COMPUTER MISC, Vellore Institute of Technology • CSE 101. D. Star-snowflake schema. *XMLBeans from Apache is another good alternative and has very good XML Schema support. There is a variety of ways of arranging schema objects in the schema models designed for data warehousing. The correct, answer is: The data that describes the transactions in the fact table Question 5 A star schema has what type of, relationship from a dimension to the fact table? consistency Segmentation Disambiguation Feedback Your answer is correct. A) Star schema B) Snowflake schema C) Fact constellation D) Star-snowflake schema The fact table has the same dimensions as it does in the star schema example. A. quantify. Question 4 Dimensionality refers to Select one: Cardinality of key values in a star schema, The data that describes the transactions in the fact table The level of detail of data that is held in the fact table, The level of detail of data that is held in the dimension table Feedback Your answer is correct. b) read only. Star schema is a top-down model. Star schema is a mature modeling approach widely adopted by relational data warehouses. Star schema. Fact constellation is a good alternative to the a. Galaxy Schema b. Snowflake schema c. Star Schema d. None of the above Answer: (c).Star Schema View Answer Report Discuss Too Difficult! The correct answer is: can be normalised but often is not Question 9 The main, organisational justification for implementing a data warehouse is to provide Select one: ETL from operation, systems to strategic systems Large scale transaction processing Storing large volumes of data Decision support, Feedback Your answer is correct. B. qualify. consistency Segmentation Disambiguation Feedback Your answer is correct. RE: Alternative Type 2 Slowly Changing Dimension (Star Schema) johnherman (MIS) 8 Jun 04 16:27 I think you actually have a single dimension with a hierarchy if you want to treat it that way, since the type 2 records are "children" of the type 1. A database uses relational model, while a data warehouse uses Star, Snowflake, and Fact Constellation schema. The correct answer is: takes preprocessed transaction data and stores in a way that is optimised for, analysis Question 11 Data warehouse contains ________data that is seldom found in the operational. The biggest drawback of the level indicator in the classic star schema is that is limits ..... A) flexibility B) quantify C) qualify D) ability. 22. Regardless of which Data Binding tool chosen, it is recommended that validation against the XML Schema be undertaken. The correct answer is Segmentation Question 3 is a good alternative to the star. Star Schema, as the name suggests, it can appears to be in star shape with single fact table in the middle and a set of dimension tables connected to it. DBMS Objective type Questions and Answers. This preview shows page 129 - 132 out of 323 pages. For each star schema it is possible to construct fact constellation schema(for example by splitting the original star schema into more star schemes each of them describes facts on … DBMS Objective type Questions and Answers. Looking at the pharmaceutical sales example, facts are measurable data about the event. Star schema is easy to operate as compared to fact constellation schema as it has less number of joins between the tables. The star schema consists of one or more fact tables referencing any number of dimension tables.The star schema is an important special case of the snowflake schema, and is more effective for handling simpler queries. Each dimension in a star schema is represented with only one-dimension table. A) Star schema B) Snowflake schema C) Fact constellation D) Star-snowflake schema. Star schema is a mature modeling approach widely adopted by relational data warehouses. In computing, the star schema is the simplest style of mart schema and is the approach most widely used to develop data warehouses and interdimensional data marts. The most important difference is that the dimension tables in the snowflake schema are normalized. c. 6. c) both a & b. d) none of … Star schema. Feedback Your answer is correct. Star Schema. The “Fact Constellation” Schema The “Fact Constellation” Schema Another Alternative to “Level” Fact Constellation is a good alternative to the Star, but when dimensions have very high cardinality, the sub-selects in the dimension tables can be a source of delay. OLAP-Style Analysis With Self-Service Tools. Entities can include products, people, places, and concepts including time itself. Dimension tables describe business entities—the things you model. Tagged With: Tagged With: Data Warehouse MCQ Questions and Answers pdf, data warehousing mcq, dwh mcq, expansion for dss in dw is, is a good alternative to the star schema., mcq on data warehouse, wase dumps, wase mcq, wase question and answer, wase solution, wase solutions, wase wipro, wipro wase Self-service BI tools use a different technology than … Which operation mainly used to access the live data online and analyse it: a. Much like a database, a data warehouse also requires to maintain a schema. Get step-by-step explanations, verified by experts. ANSWER: C 29. A schema is a collection of database objects, including tables, views, indexes, and synonyms. The fact table has the same dimensions as it does in the star schema example. B. Snowflake schema. ..... is a subject-oriented, integrated, time-variant, nonvolatile collection or data in support of management decisions. Fact constellation is a good alternative to the Galaxy Schema Snowflake schema Star Schema None of the above. For a limited time, find answers and explanations to over 1.2 million textbook exercises for FREE! 70) Which of the following is not a kind of data warehouse application? Fact constellation is a good alternative to the Galaxy Schema Snowflake schema Star Schema None of the above. This preview shows page 129 - 132 out of 323 pages. Search Google 22. B. qualify. 3. _____ is a good alternative to the star schema. Star Schema, as the name suggests, it can appears to be in star shape with single fact table in the middle and a set of dimension tables connected to it. The correct answer is: One-to-many Question 6 __________ predicts, future trends & behaviors, allowing business managers to make knowledge-driven decisions Select one: Meta, data Data mart Data warehouse Data Mining Feedback Your answer is correct. But if query performance is not a concern, the other key aspect of star schema is they’re very easy for report developers or builders and query writers to consume. However, alternatives to the star schema, such as snowflake schemas and galaxy schemas, exist for users who will get more benefits from modeling their data warehouse in a … Select one: Many-to-many Many-to-one One-to-one One-to-, many Feedback Your answer is correct. C. flexibility. Think about it – if you just kept all your data in a normalized schema, you could logically recreate a star schema dimension table by placing a view over a set of its tables. In almost all cases the data retrieval speed of a Star schema has the Snowflake beat. A Star Schema is a schema Architectural structure used for creation and implementation of the Data Warehouse systems, where there is only one fact table and multiple dimension tables connected to it. The correct answer is: Segmentation Question 3 _____ is a good alternative to the star schema. Star Schema. Star Schema: Star schema is a multidimensional model type that uses simple queries in order to access data from the database. A) Star schema B) Snowflake schema C) Fact constellation D) Star-snowflake schema. Dimension tables describe business entities—the things you model. This snowflake schema stores exactly the same data as the star schema. A. Looking at the pharmaceutical sales example, facts are measurable data about the event. The correct answer is: Fact constellation. It requires modelers to classify their model tables as either dimension or fact. The correct answer is: Decision support Question 10 A data warehouse Select, one: must import data from transactional systems whenever significant changes occur in the transactional data, works on live transactional data to provide up to date and valid results takes regular copies of transaction data, takes preprocessed transaction data and stores in a way that is optimised for analysis Feedback Your answer is, correct. The Star Schema data model is the simplest type of Data Warehouse schema. B. Snowflake, schema. a) write only. San Francisco State University • COMPUTER 993, San Francisco State University • COMPUTER 1120, San Francisco State University • COMPUTER 210, San Francisco State University • COMPUTER 1, Khan Academy Behavioral Review Only__P_S 6A_ Sensing the Environment.txt, Pir mehr Ali Shah Arid Agriculture University, Rawalpindi, Pir mehr Ali Shah Arid Agriculture University, Rawalpindi • IT CS600, University of North Texas, Dallas • COMPUTER MISC, Vellore Institute of Technology • CSE 101. The star schema consists of one or more fact tables referencing any number of dimension tables.The star schema is an important special case of the snowflake schema, and is more effective for handling simpler queries. One data warehouse schema model is a star schema. is a good alternative to the star schema A Star schema B Snowflake schema C. Is a good alternative to the star schema a star. This preview shows page 60 - 62 out of 323 pages. However, you would lose the performance benefits of doing that view’s joins in advance, like a true star schema … You can have many different dimensions but as you get near 20 or 30 total, you almost definitely have better modeling options at the source level. Course Hero is not sponsored or endorsed by any college or university. D. Star-snowflake schema. A directory of Objective Type Questions covering all the Computer Science subjects. While it is a bottom-up model. The “Fact Constellation” Schema The “Fact Constellation” Schema Another Alternative to “Level” Fact Constellation is a good alternative to the Star, but when dimensions have very high cardinality, the sub-selects in the dimension tables can be a source of delay. c. ... is a good alternative to the star schema. 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