Data warehouse can be described as
What describes contents of a data warehouse?
A typical data warehouse has four main components: a central database, ETL (extract, transform, load) tools, metadata, and access tools.
All of these components are engineered for speed so that you can get results quickly and analyze data on the fly..
What is the description of a data warehouse?
A data warehouse is a central repository of information that can be analyzed to make more informed decisions.
Data flows into a data warehouse from transactional systems, relational databases, and other sources, typically on a regular cadence..
Which of the following describes a data warehouse?
A data warehouse, or enterprise data warehouse (EDW), is a system that aggregates data from different sources into a single, central, consistent data store to support data analysis, data mining, artificial intelligence (AI), and machine learning..
Which of the following describes a data warehouse?
Data warehouses are relational environments that are used for data analysis, particularly of historical data.
Organizations use data warehouses to discover patterns and relationships in their data that develop over time..
- A data warehouse, or enterprise data warehouse (EDW), is a system that aggregates data from different sources into a single, central, consistent data store to support data analysis, data mining, artificial intelligence (AI), and machine learning.
- Which best describes a data warehouse? A data warehouse is a large-scale collection of data that contains and organizes in one place all the data from an organization's multiple databases.
What is the difference between a data lake and data warehouse?
Although they both are built for business analytics purposes, the major difference between a and a data warehouse is that a data lake stores all types of raw, structured, and unstructured data from all data sources in its native format until it is needed
A data warehouse is the secure electronic storage of information by a business or other organization. The goal of a data warehouse is to create a trove of historical data that can be retrieved and analyzed to provide useful insight into the organization's operations.A data warehouse is a centralized repository that stores structured data (database tables, Excel sheets) and semi-structured data (XML files, webpages) for the purposes of reporting and analysis.A "data warehouse" is a repository of historical data that is organized by the subject to support decision-makers in the organization. Once data is stored in a data mart or warehouse, it can be accessed.A data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics. Data warehouses are solely intended to perform queries and analysis and often contain large amounts of historical data.A data warehouse, or enterprise data warehouse (EDW), is a system that aggregates data from different sources into a single, central, consistent data store to support data analysis, data mining, artificial intelligence (AI), and machine learning.
