Advanced ETL Processor Professional 6.3.7.2 With Crack

by SadeemPC · October 19, 2020

Advanced ETL Processor Professional Crack is a straightforward and reliable piece of software designed to automate all your business processes. It saves you time so you can concentrate on the main aspects important for your company.
Connect to a repository of choice
Using this ETL utility you are able to perform complex data validation and transformation actions, create Insert statements from any data source and simply load data from files into BLOB fields.

Advanced ETL Processor Professional Full Version – The left panel located in the Design tab enables you to connect to whatever repository you want, then handle any kind of database be it Oracle, Microsoft Access, SQL Server, MySQL, PostgreSQL, or Excel spreadsheets. The program provides a mechanism by which a number of different systems and protocols can interact in order to help you process a number of tasks from start to finish. It can handle a number of different functions and services such as processing databases, e-mail protocols, and Office documents.

Advanced ETL Processor Professional License Key Features:

Multiple Delimited or Fixed width Text files
Multiple Excel files + Multiple Excel Spreadsheets
Multiple MS Access Databases
Multiple DBF Files
Any ODBC compliant database
Full support for ODBC connection strings
OLE DB Datasource
MS SQL Server
MySQL
PostgreSQL
Interbase/Firebird
Oracle
Multiple Tables
POP3 + SSL
File System
XML

Validation:

190 Validation Functions
String Validation
Number Validation
Date Validation
Time Validation
Validation Against a list of values
Regular Expressions: Postcodes, Phone Numbers, VAT Numbers ETC

Transformation:

15 Transformation Functions
String Transformation
Number Transformation
Date Transformation
Multiple Date Formats
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 newly 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)
Customized Transformation