What is data warehouse backend process?

Data warehousing is the process of constructing and using a data warehouse. A data warehouse is constructed by integrating data from multiple heterogeneous sources that support analytical reporting, structured and/or ad hoc queries, and decision making.

What are the data warehouse backend tools?

The back-end tools of a data warehouse are pieces of software responsible for the extraction of data from several sources, their cleansing, customization, and insertion into a data warehouse.

What are the processes involved in data warehousing?

Process flow in data warehouse There are four major processes that contribute to a data warehouse:  Extract and load the data  Cleaning and transforming the data  Backup and archive the data  Managing queries and directing them to the appropriate sources.

What is centipede fact table?

Centipede fact table is a normalized fact table. Modeller may decide to normalize the fact instead of snow flaking dimensions tables. Conformed Fact Tables. They are measures re-used across multiple dimension models. For example, KPI such as profit, revenue etc.

What are the four stages of data warehousing?

4 Stages of Data Warehouses

• Stage 1: Offline Database. In their most early stages, many companies have Data Bases.
• Stage 2: Offline Data Warehouse.
• Stage 3: Real-time Data Warehouse.
• Stage 4: Integrated Data Warehouse.

What is the first major process that contribute to a data warehouse?

Extract and Load Process Data load takes the extracted data and loads it into the data warehouse.

What are the back-end tools of a data warehouse?

The back-end tools of a data warehouse are pieces of software responsible for the extraction of data from several sources, their cleansing, customization, and insertion into a data warehouse.

What are the processes involved in data warehouse?

Process Flow in Data Warehouse. There are four major processes that contribute to a data warehouse −. Extract and load the data. Cleaning and transforming the data. Backup and archive the data. Managing queries and directing them to the appropriate data sources. Extract and Load Process. Data extraction takes data from the source systems.

How to optimize the performance of a data warehouse?

The data contained in a data warehouse must be transformed to support performance requirements and control the ongoing operational costs. It will optimize the hardware performance and simplify the management of data warehouse.

What is controlling process in data warehouse?

Controlling process ensures that the tools, the logic modules, and the programs are executed in correct sequence and at correct time. Data needs to be in a consistent state when it is extracted, i.e., the data warehouse should represent a single, consistent version of the information to the user.