#Data stage tool in etl Pc

The good thing is that they still can be installed on the same windows pc and switched with the Multi-Client Manager program.

#Data stage tool in etl software

No Unix Datastage client - the Client software available only under Windows and there are different clients for different datastage versions.Involved in Data Extraction, Staging, Transformation and Loading. However, on the operator level, these errors can be easily resolved. Responsibilities: Involved in gathering and analyzing various items from different departments Understanding the core requirements of the Project. There is no automated error handling and recovery mechanism - for example no way to automatically time out zombie jobs or kill locking processes.Big architectural differences in the Server and Enterprise edition which results in the fact that migration from server to enterprise edition may require vast time and resources effort.Major Datastage weaknesses and disadvantages The datastage server performs very well on both Windows and unix servers.It helps get most out of hardware investment and resources. With Datastage Enterprise Edition users can use the parallel processing engine which provides unlimited performance and scalability.Common data infrastructure for data movement and data quality (metadata repository, parallel processing framework, development environment).Ability to join data both at the source, and at the integration server and to apply any business rule from within a single interface without having to write any procedural code.Team communication and documentation of the jobs is supported by data flows and transformations self-documenting engine in HTML format.ETL developers can follow data integrations quickly through a graphical work-as-you-think solution which comes by default with a wide range of extensible objects and functions Flexible development environment - it enables developers to work in their desired style, reduces training needs and enhances reuse.Single interface to integrate heterogeneous applications.Technical advantages of using DataStage tool to implement the ETL processes Transparent and wide range of licensing options.Single vendor solution for bulk data transfer and complex transformations (DataStage versus DataStage TX).Development Partnerships - easy integration with top market products interfaced with the datawarehouse, such as SAP, Cognos, Oracle, Teradata, SAS.Learning curve - quick development and reduced maintenance with GUI tool.Significant ROI (return of investment) over hand-coding.Major business and technical advantages and disadvantages of using DataStage ETL toolД«usiness advantages of using DataStage as an ETL tool: