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Average Ratings 0 Ratings
Description
Oracle Warehouse Builder (OWB) 11g serves as a comprehensive solution for integrating data within a data warehousing context. The 11gR2 version comes pre-installed with Oracle Database 11gR2 while remaining compatible for installation and use alongside Oracle Database versions 10gR2 and 11gR1. This document outlines the licensing details for Warehouse Builder and provides crucial links for further information. The capabilities of OWB are categorized into several feature groups: Basic ETL offers fundamental ETL functionalities designed for the creation of straightforward data warehouses, also known as Core ETL, which aligns closely with the feature set of Warehouse Builder 10gR1. The enterprise ETL group delivers enhanced functionalities tailored for sophisticated enterprise data warehousing and integration projects. Additionally, application Adapters for OWB facilitate connections to SAP and Oracle ERP applications, thereby broadening its integration capabilities. For a thorough overview of the features included in the Enterprise ETL feature set, one can refer to the Fusion Middleware 11g licensing guide, specifically within the section dedicated to Oracle Data Integrator, Enterprise Edition. This structured approach ensures users can easily identify the tools and resources they need for effective data management.
Description
In QDeFuZZiner software, the fundamental unit is referred to as a project, which encompasses the definitions of two source datasets for import and analysis, known as the "left dataset" and "right dataset." Each project not only includes these datasets but also a variable number of solutions that detail the methodology for conducting fuzzy match analysis. Upon creation, every project is assigned a distinct project tag, which is subsequently appended to the names of the corresponding input tables during the raw data import process. This tagging system guarantees that the imported tables maintain uniqueness through association with their respective project names. Furthermore, during the import phase and later when generating and executing solutions, QDeFuZZiner establishes various indexes on the PostgreSQL database, thereby enhancing the efficiency of fuzzy data matching procedures. The datasets themselves can be sourced from spreadsheet formats such as .xlsx, .xls, .ods, or from CSV (comma separated values) flat files, which are uploaded to the server database, leading to the creation, indexing, and processing of the associated left and right database tables. This structured approach not only simplifies data management but also streamlines the analysis process, making it easier for users to derive insights from their datasets.
API Access
Has API
No
API Access
Has API
No
Integrations
Latitude WMS
Yes
Oracle Data Integrator
Yes
Oracle Fusion Cloud ERP
Yes
PostgreSQL
No
SAP ERP
Yes
SEA Manager
Yes
Integrations
Latitude WMS
No
Oracle Data Integrator
No
Oracle Fusion Cloud ERP
No
PostgreSQL
Yes
SAP ERP
No
SEA Manager
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/application-development/technologies/warehouse/warehouse-builder.html
Vendor Details
Company Name
QDeFuZZiner
Website
zmatasoft.wixsite.com/qdefuzziner/qdefuzziner-software-features
Product Features
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No