Usability Comparison White Paper: Informatica vs. Ab initio

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This report is an evaluation of two leading Extract, Transform and Load (ETL) tools, Informatica and Ab initio. In spite of long history of data ware housing, business intelligence and data integration industry, it is not an easy to decide which ETL tool is best suited for the organization needs as both Ab initio and Informatica offers a complete ETL solution and both are leaders in the Market.
The purpose of this usability study is to evaluate usability of each solution with respect to various criteria like cost, modularity to support seamless integration with other applications/tools, analytical reporting performance needs, volume and variety of data, loading performance, scalability, ease of use, self-sufficiency, simplicity, compatibility etc. If cost is not a concern Ab initio can be preferred for performance, processing of high volume of data and easy to develop perspective. Informatica provides a broad range of Data Integration products like Informatica PowerCenter, Informatica Data Integrator Hub, Informatica Cloud etc. and hence it boasts of a broader data integration capability. Specific offerings, future scope, ongoing enhancements, data integration capabilities, hardware and operating system requirements, architectural differences, maturity in various market segments etc. are detailed for both solutions.

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Using Oracle’s DBMS_APPLICATION_INFO built-in package

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This document aims at showcasing the capabilities and usage of Oracle’s DBMS_APPLICATION_INFO built-in package. One very important use is to monitor the progress of loops to know exactly which record is being processed at a given moment.

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SAP Sybase Replication Server 15.6 | Real Time Loading into SAP Sybase IQ

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SAP Sybase has developed a new, innovative and dynamic staging technology, allowing full use of the native, high-speed data load mechanism SAP Sybase IQ offers . . . Real Time Loading (RTL).

RTL addresses the need to have another system prepare the data for load by taking real time data movement from the source database, and applying staging technology to the data transfer in the background.

Up until now, the only option for loading data from an Online Transaction Processing (OLTP) database . . . airline reservation systems, financial transactions, etc., into a SAP Sybase IQ data warehouse was a so-called staging process. Staging means that the OLTP is isolated from the data warehouse loading process to ensure data integrity, due to the rapidly changing data content in the OLTP database systems.

Direct replication into SAP Sybase IQ was limited to low data movement environments. The reason lies in the fundamental differences on how SAP Sybase IQ processes data, and data movement strategies SAP Sybase Replication Server applies.

SAP Sybase IQ is a column vector database. Retrieving a single row requires assembling the row from each column component. This process makes row by row processing ineffective, and the so- called “trickle feed” loading of SAP Sybase IQ nearly impossible. The advantage of a column vector database is in the unmatched speed for complex data retrieval operations and data aggregation on huge data sets.

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Oracle To SAP Sybase ASE Migration Guide

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The Oracle to Sybase Migration Guide provides detailed information on migrating a database from Oracle® 9i, 10g and 11g to Sybase Adaptive Server® Enterprise (ASE). The processes and differences outlined in this guide will help you to manage the migration process, regardless the conversion tool you are using to perform the migration. The focus is on the Oracle to Sybase ASE migration and Oracle features like data replication or data warehousing are better utilized in other specialized Sybase products.

If not otherwise specified all stand-alone references to simply Sybase ASE or Adaptive Server are considered references to Sybase Adaptive Server® Enterprise.

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