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Table of contents
What is Data Warehouse?
Oracle Warehouse Builder Overview
Features of Oracle Warehousing Builder
Installation Process
Frequently Asked Questions
What is Data Warehouse?
What is the use of data warehouses?
What are the types of data warehouses?
What are ETL tools?
Last Updated: Mar 27, 2024

Oracle Warehousing Builder

Author Aniket Majhi
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Welcome readers! We hope that you are doing well.

Data warehousing is a consistent and reliable strategy for analysing large and multidimensional data in today's computing world.

In this article, we will be discussing an important ETL(Extract, Transform and Load) tool produced by Oracle, namely, Oracle Warehousing Builder.

This blog will give you a detailed explanation of the Oracle warehousing Builder, which will help you extend your knowledge about data warehousing.

If you want to know more about the data warehousing tools, you can refer to this blog, Data WarehousingData Warehousing Tools and Application of Data Warehousing.

So, without further ado, let’s start the topic.

What is Data Warehouse?

A data warehouse is a data management system designed to support business intelligence(BI) activities, especially in analytics. The main intention of the data warehouse is to perform queries and analyses, and it can often contain a vast amount of historical data.

A data warehouse centralises and consolidates a large amount of data from several sources. Its analytical capabilities enable organisations to get valuable insights which improve decision making. It produces a historical record over time that can be invaluable for data scientists and business analysts.

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Oracle Warehouse Builder Overview

Oracle Warehousing Builder is an integral part of the Oracle database. It is a comprehensive ETL tool produced by Oracle that offers data integration, data warehousing, data quality and metadata management solutions.

Features of Oracle Warehousing Builder

The features of the Oracle warehousing builder include:

  1. Management of total lifecycle of metadata.
  2. Enable Extraction, Transformation and Load(ETL).
  3. Data integration and consolidation.
  4. Data modelling
  5. Data profiling and data quality

Installation Process

Step1: First login to

Step2: Download the Oracle Warehouse Software using 
Step3: After clicking on the above this page will pop up

Then click on the download as directed by the arrow.

Step4: After clicking on the download, click on the dropdown as shown below.

Step5: Then choose the appropriate option(for our case, it is Windows 64 bit operating system). 

Step6: Then check the checkbox and click on the Download button as shown by the arrow.

Step7: After that, browse the appropriate positions and click on the Next button as shown below.

Step8: Click next, then install.

Frequently Asked Questions

What is Data Warehouse?

A data warehouse is a data management system, a collection of software tools that stores, reports, and analyses vast amounts of diverse data from many sources.


What is the use of data warehouses?

Data warehouses are mainly used in Data Analytics(particularly in historical data). Many organisations use data warehouses to discover patterns and relationships in their data.


What are the types of data warehouses?

There are mainly three types of data warehouses:

  • Enterprise Data Warehouse(EDW)
  • Operational Data Store(ODS)
  • Data Mart


What are ETL tools?

The ETL stands for Extraction, Transformation and Load.  ETL tools move data between systems. Many companies use this tool to safely and reliably move their data from one system to another.


In this article, we have extensively discussed Oracle Warehousing Builder.

We started with the basic introduction, then we discussed,

  • Overview of OWB
  • Features of OWB
  • Finally, we showed the installation process.

We hope that this blog has helped you enhance your knowledge regarding Oracle Warehousing Builder and if you would like to learn more, check out our articles on Data WarehousingData Warehousing Tools, Application of Data WarehousingData Lakes vs Data Warehouses and Data Warehouse Modeling. Do upvote our blog to help other ninjas grow.

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