Advanced ETL Processor v2.2.12.0

Advanced ETL Processor is designed to automate extracting data from ANY database , transform , validate it and load into ANY database . Typical usage of it would be extract data from 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 primary key. Some examples of what our customers use this ETL tool for include: Extract data from: Multiple Delimited or Fixed width Text files Multiple Excel files + Multiple Excel Spreadsheets Multiple MS Access Databases Multiple DBF Files Any ODBC compliant database MS Sql Server Multiple Tables And Load it into: Multiple Data Targets Sql scripts execution before and after loading Delimited or Fixed width Text file MS Access Database Microsoft Excel File DBF File Oracle 7-11g database SQL server 7- 2005 Any ODBC compliant database Save time by automating Everyday tasks: Move data from one system to another Import sales into marketing system Validate and correct key data Remove duplicate data Avoid re-keying data Key Facts Extraction: Multiple Delimited or Fixed width Text files Multiple Excel files + Multiple Excel Spreadsheets Multiple MS Access Databases Multiple DBF Files Any ODBC compliant database MS Sql Server Multiple Tables Full support for ODBC connection strings 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 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 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 Oracle 7-11g database (using OCI API) Full support for Oracle Instant Client SQL server 7- 2005 (using BCP API) Any ODBC compliant database (Using ODBC API) Full support for ODBC connection strings Oracle There are two ways of loading available: Oracle direct path loading Conventional path More Information... SQL server This software uses the same API as Microsoft DTS service. Also: High performance - hundreds of records per second Comprehensive Error log Rejected records file Low OS Memory consumption

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