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What is Oracle Warehouse Builder?

Oracle Warehouse Builder (OWB) 11g acts as a robust platform for data integration tailored for data warehousing needs. The version 11gR2 is conveniently bundled with Oracle Database 11gR2, while it also supports installation alongside earlier versions like Oracle Database 10gR2 and 11gR1. This document provides essential licensing information about Warehouse Builder and includes important links for additional insights. The functionalities of OWB are divided into distinct feature categories: Basic ETL encompasses essential ETL capabilities intended for constructing simple data warehouses, also referred to as Core ETL, which shares similarities with the features found in Warehouse Builder 10gR1. The enterprise ETL segment offers advanced functionalities specifically designed for complex enterprise data warehousing and integration initiatives. Furthermore, OWB's application Adapters enable seamless connections to SAP and Oracle ERP applications, thereby enhancing its integration potential. To gain a comprehensive understanding of the features available in the Enterprise ETL category, users can consult the Fusion Middleware 11g licensing guide, particularly the section that discusses Oracle Data Integrator, Enterprise Edition. This organized framework allows users to efficiently locate the necessary tools and resources to manage their data effectively, catering to both simple and intricate data management scenarios.

What is Oracle Cloud Infrastructure Data Lakehouse?

A data lakehouse embodies a modern, open architecture tailored for the storage, understanding, and analysis of large data sets. It combines the strong features of traditional data warehouses with the considerable adaptability provided by popular open-source data technologies currently in use. Building a data lakehouse is feasible on Oracle Cloud Infrastructure (OCI), which supports effortless integration with advanced AI frameworks and pre-built AI services, including Oracle’s language processing tools. Users can utilize Data Flow, a serverless Spark service, enabling them to focus on their Spark tasks without the hassle of infrastructure management. Many clients of Oracle seek to create advanced analytics driven by machine learning, applicable to their Oracle SaaS data or other SaaS sources. In addition, our intuitive data integration connectors simplify the setup of a lakehouse, promoting comprehensive analysis of all data alongside your SaaS information and considerably speeding up the solution delivery process. This groundbreaking methodology not only streamlines data governance but also significantly boosts analytical prowess for organizations aiming to harness their data more efficiently. Ultimately, the integration of these technologies empowers businesses to make data-driven decisions with greater agility and insight.

Media

Media

Integrations Supported

Latitude WMS
Oracle Data Integrator
Oracle Fusion Cloud ERP
SAP ERP
SEA Manager

Integrations Supported

Latitude WMS
Oracle Data Integrator
Oracle Fusion Cloud ERP
SAP ERP
SEA Manager

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/application-development/technologies/warehouse/warehouse-builder.html

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/data-lakehouse/

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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