Data warehousing concepts pdf

  • Data warehouse tools

    Key attributes of most data warehouses are that they:

    Are often deployed as a central database for the enterprise.Provide ETL (extract, transform, load) data processing capability. Store metadata.Include access to reporting tools..

  • Data warehouse tools

    A Data Warehouse is Built by combining data from multiple diverse sources that support analytical reporting, structured and unstructured queries, and decision making for the organization, and Data Warehousing is a step-by-step approach for constructing and using a Data Warehouse..

  • Data warehouse tools

    Extract, transform, and load (ETL) is the process of combining data from multiple sources into a large, central repository called a data warehouse.
    ETL uses a set of business rules to clean and organize raw data and prepare it for storage, data analytics, and machine learning (ML)..

  • How does data warehousing work?

    An organization collects data and loads it into a data warehouse.
    The data are then stored and managed, either on in-house servers or in a cloud service.
    Business analysts, management teams, and information technology professionals access and organize the data.
    Application software sorts the data..

  • What are data warehouse concepts dimensions?

    In a data warehouse, dimensions provide structured labeling information to otherwise unordered numeric measures.
    The dimension is a data set composed of individual, non-overlapping data elements.
    The primary functions of dimensions are threefold: to provide filtering, grouping and labelling..

  • What are data warehousing concepts?

    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..

A data warehouse is a copy of transaction data specifically structured for query and analysis. This definition provides less insight and depth than Mr. Inmon's 

What is data warehousing?

Data warehousing is a phenomenon that grew from the huge amount stored in recent years and from the urgent need to use that data to accomplish beyond the routine tasks linked to daily processing

In a typical scenario, has many branches, and senior managers need to quantify and evaluate contributes to the global business performance

What is the difference between operational data and data warehousing?

Operational Data: Data used in day-to-day needs of company

Informational Data: Supports other functions such as planning and forecasting

Data mining tools often access data warehouses rather than operational data

Data warehousing: The process of constructing and using data warehouses

2 2 Data Warehouse—Subject-Oriented

What is the management and control component of a data warehouse?

The management and control component coordinates the services and activities within the data warehouse

This component controls the data transformation and the data transfer into the data warehouse storage


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