Advanced ETL Processor Trial

Written by Admin on. Posted in Software

Advanced ETL Processor TrialAdvanced ETL Processor is a straightforward and effective application geared towards users who need extract data from any database, transform and validate it so they can save time in order to sort and duplicate data, generate XML files, save BLOBs into separate files and process e-mails. Although the data integration process might seem a bit overwhelming since there are various enterprise applications on the market that you don’t know which one best suits your needs, Advanced ETL Processor provides you with complex data integration capabilities built into an intuitive and user-friendly interface. Being designed as a complete data integration program that comes with support for any file format, here referring to MS Access, DBF, ODBC, JDBC, MS SQL Server, Oracle, MySQL, PostgrelSQL, Interbase and Firebird, to name a few, Advanced ETL Processor is an ideal solution for transforming your data and generating INSERT statements from any data source. What’s more, the application allows you to associate target and source data structures using the drag and drop functionality. On this manner, you are able to load images into the connected database, merge QVD files, work with variables and create a simple data transformation. The main window displays four tabs you can navigate through, namely ‘Data Flow Diagram’, ‘Template’, ‘Rejected File’ and ‘Execution File’. Each of them contains personalized options and features that you can work with. The first tab enables you to view all of the available objects in a diagram-like overview such as Reader, Deduplicator, Clone Row, Transformer and Writer. Additionally, you are able to align all the objects vertically or horizontally, modify the properties, or simply create a new transformation diagram. Also, functions, filters and constants can be accessed via the drop down toolbar. You can navigate to the ‘Execution Log’ tab if you want to analyze the activities of individual processes during their execution. It displays the file type and the description for each process. To wrap it up, Advanced ETL Processor proves to be a steady solution when it comes to automating all your business processes, generating reports and exporting data from any database.
Advanced ETL Processor will extract data from any database, transform, validate it and load into another database automatically. A unique technology called “What You See Is What You Load” saves a lot of time during testing and design of validation and transformation processes. It shows you how the data will be transformed and loaded into the data warehouse or database without actually loading it. At any time, you can press the “Preview” button and see what the results of an ETL flow would look like. Advanced ETL Processor can help you extract data from an Excel file, validate date formats, sort data, deduplicate it and load it into the database, run stored procedure or SQL script, once loading is completed. Unlike Oracle SQL loader, BCP, DTS or SSIS, Advanced ETL Processor can also add new and update old records based on the key defined by user. Advanced ETL Processor works directly with Excel, MS Access, DBF and Text files, Oracle, MS SQL Server, Interbase/Firebird, MySQL, PostgreSQL or any ODBC compliant database. Another benefit of using Advanced ETL Processor its unique ability to load data from multiple files or even tables using mask If data format is incorrect, Advanced ETL Processor writes a detailed message into the error log and writes a record into rejected records file.
Here are some key features of “Advanced ETL Processor”:
  • Multiple Delimited or Fixed width Text files
  • Multiple Excel files + Multiple Excel Spreadsheets
  • Multiple MS Access Databases
  • Multiple DBF Files
  • 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)
  • Customized Transformation
  • 30 days trial period
  • Nag screen
What’s New
  • MySQL date processing bugs fixes

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