Basic Data Warehouse

Basic Data Warehouse

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In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis, and is considered a core component of business intelligence. DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place that are used for creating analytical reports for workers throughout the enterprise.

The data stored in the warehouse is uploaded from the operational systems (such as marketing or sales). The data may pass through an operational data store and may require data cleansing[2] for additional operations to ensure data quality before it is used in the DW for reporting.

• DWH - Overview

• DWH - Concepts

• DWH - Terminologies

• DWH - Delivery Process

• DWH - System Processes

• DWH - Architecture

• DWH - OLAP

• DWH - Relational OLAP

• DWH - Multidimensional OLAP

• DWH - Schemas

• DWH - Partitioning Strategy

• DWH - Metadata Concepts

• DWH - Data Marting

• DWH - System Managers

• DWH - Process Managers

• DWH - Security

• DWH - Backup

• DWH - Tuning

• DWH - Testing

• DWH - Future Aspects

• DWH - Interview Questions

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Last updated on Dec 1, 2018
Minor bug fixes and improvements. Install or update to the newest version to check it out!
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