- What is a data warehouse and what are its main characteristics?
- What are the key features of data warehouse?
- What is the difference between OLAP and OLTP?
- What are the major components of a data warehousing system?
- What are the four functions of warehousing?
- What is the main difference between a data warehouse and a data mart quizlet?
- What are the two main objectives associated with data mining?
- What is data warehouse in simple words?
- What is the function of a data mart?
- What is the difference between a database and a data warehouse?
- What are the types of data mart?
- What is a data driven website quizlet?
- What are the types of data warehouse?
- What is the main difference between a data warehouse and a data mart?
- Which is characteristic of a data mart?
- What is data mart with example?
- What is the primary purpose of a data warehouse?
- What is the difference between data Lake and data mart?
What is a data warehouse and what are its main characteristics?
A data warehouse is always a subject oriented as it delivers information about a theme instead of organization’s current operations.
It can be achieved on specific theme.
A data warehouse never put emphasis only current operations.
Instead, it focuses on demonstrating and analysis of data to make various decision..
What are the key features of data warehouse?
The key characteristics of a data warehouse are as follows:Some data is denormalized for simplification and to improve performance.Large amounts of historical data are used.Queries often retrieve large amounts of data.Both planned and ad hoc queries are common.The data load is controlled.
What is the difference between OLAP and OLTP?
OLTP and OLAP: The two terms look similar but refer to different kinds of systems. Online transaction processing (OLTP) captures, stores, and processes data from transactions in real time. Online analytical processing (OLAP) uses complex queries to analyze aggregated historical data from OLTP systems.
What are the major components of a data warehousing system?
A data warehouse design mainly consists of five key components.Data Warehouse Database. … Extraction, Transformation, and Loading Tools (ETL) … Metadata. … Data Warehouse Access Tools. … Data Warehouse Bus.
What are the four functions of warehousing?
Functions of Warehousing:Storage: This is the basic function of warehousing. … Price Stabilization: Warehouses play an important role in the process of price stabilization. … Risk bearing: … Financing: … Grading and Packing: … Regular production: … Time utility: … Store of surplus goods:More items…
What is the main difference between a data warehouse and a data mart quizlet?
What is the difference between a data warehouse and a data mart? A data warehouse is a large collection of data from multiple sources in an organization and a data mart is data extracted from a data warehouse that pertains to a single component of the business.
What are the two main objectives associated with data mining?
The mission of every data analysis specialist is to achieve successfully the two main objectives associated with data mining i.e. to find hidden patterns and trends.
What is data warehouse in simple words?
Data warehousing is the electronic storage of a large amount of information by a business or organization. A data warehouse is designed to run query and analysis on historical data derived from transactional sources for business intelligence and data mining purposes.
What is the function of a data mart?
Thus, the primary purpose of a data mart is to isolate—or partition—a smaller set of data from a whole to provide easier data access for the end consumers. A data mart can be created from an existing data warehouse—the top-down approach—or from other sources, such as internal operational systems or external data.
What is the difference between a database and a data warehouse?
Database is a collection of related data that represents some elements of the real world whereas Data warehouse is an information system that stores historical and commutative data from single or multiple sources. Database is designed to record data whereas the Data warehouse is designed to analyze data.
What are the types of data mart?
Three basic types of data marts are dependent, independent, and hybrid. The categorization is based primarily on the data source that feeds the data mart. Dependent data marts draw data from a central data warehouse that has already been created.
What is a data driven website quizlet?
A data-driven website is an interactive website kept constantly updated and relevant to the needs of its customers through the use of a database.
What are the types of data warehouse?
Types of Data WarehouseThree main types of Data Warehouses (DWH) are:Enterprise Data Warehouse (EDW):Operational Data Store:Data Mart:Offline Operational Database:Offline Data Warehouse:Real time Data Warehouse:Integrated Data Warehouse:More items…•
What is the main difference between a data warehouse and a data mart?
Range: a data mart is limited to a single focus for one line of business; a data warehouse is typically enterprise-wide and ranges across multiple areas. Sources: a data mart includes data from just a few sources; a data warehouse stores data from multiple sources.
Which is characteristic of a data mart?
Characteristics of a data mart Focuses in on the subject matter by consolidating and integrating information from various sources. Usually dedicated for a specific business function or purpose. Built using a dimensional model called a star schema. This allows data marts to have multidimensional analytical capabilities.
What is data mart with example?
A data mart is a subset of a data warehouse oriented to a specific business line. Data marts contain repositories of summarized data collected for analysis on a specific section or unit within an organization, for example, the sales department.
What is the primary purpose of a data warehouse?
A data warehouse is a read-only set of information that is combined from multiple systems into one, easy-to-access location. The primary purpose of a data warehouse is to provide verified data that can support strategic decision-making.
What is the difference between data Lake and data mart?
He describes a data mart (a subset of a data warehouse) as akin to a bottle of water…”cleansed, packaged and structured for easy consumption” while a data lake is more like a body of water in its natural state. Data flows from the streams (the source systems) to the lake. … All data is loaded from source systems.