Baycastle Software DataSlave, ETL at market-leading value for money
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DataSlave Features

Software designed for business by business people.

DataSlave™ is designed to be simple to use with a graphical approach to help you move, validate and adjust data. DataSlave supports many common data formats.

DataSlave is now free. After you have completed your evaluation you can regsiter for a free Validate Edition.

DataSlave's simple approach will help you quickly build the mapping and validation rules to ensure your data is swiftly and accurately transferred. At all times the data is displayed allowing you to see how the information will be transformed and moved.

The DataSlave Map
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Features:

 
Migrate data
Map new data onto your existing database
 
Transform data
Display, transform and review the data within DataSlave
 
Validate data
Validate against more than 100 standard functions
 
Standard transform functions
More than 35 transformation functions including: Change case, Trim, Append, Prefix, Split, Join, Extract, Name Split, Abbreviate and many more
 
Validate against lists
Compare against list and tables of allowed values
 
Import and Export data
Import data from and export data to many formats including export to CSV. Contact us with details of data and database connectivity your require
 
De-duplicate data
De-duplicate the data for example checking to make sure you do not send direct mail twice to the same person. More...
 
Scheduled data migration
Scheduled execution of data processing using the DataSlave Loader
 
Batched data import
Batch feature for large data sets. Process every file in a folder and handle very large files
 
VB Scripting to extend DataSlave
Extensible tool allowing users to build Regular Expressions and VBScript to add functions unique to their business. We can even extend DataSlave to meet your particular requirements
 
ETL tool
A market-leading ETL tool
 
What is new
What is new in version 2.2.6

 

 

DataSlave more...

News

What is a Null?

A Null and an empty string are not the same. We discuss when a Null is found in the data and how it is used.

Handling abbreviations in your data

We discuss how to handle abbreviations found in your source data. DataSlave offers a tool to abbreviate and indeed "de-abbreviate" data.

 

 

 

 

Data formats / Validation rules / ETL