Advanced ETL Processor 2.1.1

- Application Name: Advanced ETL Processor
- Version: 2.1.1
- Last Updated: December 27, 2007
- License: Shareware
- Price/Registration Fee: US$300
- Software Terms: powerful etl tool , oracle , ms sql server , bcp , sql loader , odbc , etl , data transformation , validatation , sorting ,
- File Size: 3.2 MB
- Platforms: Windows2003, Windows XP, Windows Vista Ultimate, Windows Vista Starter, Windows Vista Home Premium, Windows Vista Home Basic, Windows Vista Enterprise, Windows Vista Business, Windows NT, Windows Me, Windows 98, Windows 2000
- View Screenshot: Preview
- Install/Uninstall Support: Install and Uninstall
- Software Category: Business -- Databases --
- Number of Downloads: 41
- Editor Rating: 5
- Come From: http://www.dbsoftlab.com/index.php/ETL-Tools/Advanced-ETL-Processor.html
- Published By: DB Software Laboratory
- Click Download Now: http://www.dbsoftlab.com/dmdocuments/AdvancedETL.zip
Advanced ETL Processor 2.1.1 Description
Advanced ETL is a business intelligence tool that provides solution for Extracting, Validating, Transforming and Loading data between different data sources and targets.
Extraction:
* Multiple Delimited or Fixed width Text files
* Multiple Excel files + Multiple Excel Spreadsheets
* Multiple MS Access Databases
* Multiple DBF Files
* Any ODBC source
* Multiple Tables
Validation:
* 190 Validation Functions
* String Validation
* Number Validation
* Date Validation
* Time Validation
* Validation Against list of values
* Regular Expressions: Post codes, Phone Numbers, VAT Numbers ETC
Transformation:
* 36 Transformation Functions
* String Transformation
* Number Transformation
* Date Transformation
* Sorting
* Grouping
* Deduplication
* Translating coded values (e.g., if the source system stores 1 for male and 2 for female, but the warehouse stores M for male and F for female)
* Deriving a new calculated value (e.g., sale amount = qty * unit price)
* Joining together data from multiple fields
* Summarizing multiple rows of data (e.g., total sales for each store, and for each region)
* Generating surrogate key values
* Transposing or pivoting (turning multiple columns into multiple rows or vice versa)
* Splitting a column into multiple columns (e.g., putting a comma-separated list specified as a string in one column as individual values in different columns)
* Customised Transformation
Loading:
* Multiple Data Targets
* Sql scripts execution before and after loading
* Delimited or Fixed width Text file
* MS Access Database
* Microsoft Excel File
* DBF File
* ODBC source (Using ODBC API)
* Oracle 7-10G database (using OCI API)
* SQL server 7- 2005 (using BCP API)
* ODBC source (Using ODBC API)
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