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On the other hand, an ETL tool refers to an instrument that helps in automating the process (ETL) by providing three important functions:

• Data extraction from the underlying sources of data
• Transformation of data to meet the data model 
• Loading of data into the chosen destination

SAP BODS is an ETL Tool that helps in extracting data from diversified systems, transforming data into relevant information, and loading data in a data warehouse. It is designed in such a way that it can deliver business-class solutions for the integration of data, processing of data, data quality, and data profiling. SAP BODS stands for Business Object Data Services. Also, Find Data entry jobs from Paperub.com by posting your project.

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History of SAP BODS

In the year 2002, Business Objects modernized two software products of Acta as Business Objects Data Integration Tool and Business Objects Data Quality Tool. In 2007 SAP acquired Business Objects and both the products are refurbished as SAP BODI and SAP BODQ. In 008, finally, SAP merged these two software products into one tool and renamed it SAP BODS (Business Objects Data Services).

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The architecture of SAP BODS

The following are the basic elements of SAP BODS architecture:

• Repository: It is a set of a table that grips predefined and user-created system objects, target metadata, source, and rule of transformation. It lets you set up repositories on an open client/server platform. Apart from that, it also helps to share metadata with other enterprise tools. Every local repository gets connected with a single or more job server that helps to run the job created by the user.
• Management Console: The management console of this ETL tool is a web-based application with various features like administration, impact and linear analysis, operational dashboard, auto-documentation, data validation, and data quality data reports.
• Job Server: This component helps in starting the data movement engine. It let the users amalgamate data from different sources. Along with that, it also helps to perform transformations of complex data, data extractions from ERP systems and other sources, and manages transactions. This tool allows the user to move the data in either real-time mode or batch. It helps to deliver high data output and scalability.
• Data Services Designer: Data Service Designer tool offers an easy-to-use GUI (Graphical User Interface) that helps to define data mappings, transformations, and control logic. It also helps to build applications consisting of data and workflows and manage metadata cached in a repository.
• Engines: After the job of SAP Business Objects Data Services is executed, the job server performs extraction, transformation, and movement of data. The engine of the job server uses simultaneous processing and transformation of in-memory data for offering high connectivity, scalability, and quality of data.
• Access Server: It provides real-time request-reply messages that help in collecting message requests, routing them to a service in real-time, and delivering message replies within a specific time limit. The Access server inquires about messages and then sends them to the next real-time service that is available across multiple computing resources.
• Address Server: The last component is the Address server which offers validation and correction of addresses. It should be started before processing the flows of data that contain the Global Suggestion list or Global address Cleanse transform with the enabled EMEA engine.

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Advantages of SAP BODS

Here are a few advantages of the Business Object Data Services of SAP:

• It offers better profiling because of several acquisitions of different other companies.
• Offers an easy-to-use User Interface (UI) for performing tasks of data manipulation.
• The learning curve of SAP BODS is easy to use and quick.
• The functions and objects of this ETL tool allow the users to perform the transformation and manipulation of data very efficiently.
• It makes allowance for implementing various data transformations with the use of the Data Integrator language.
• The system-provided functions and objects can be dragged and dropped easily.
• It helps you in performing the transformation of complex data for developing customized functions.
• Data Integrator Designer lets the user store batch and real-time jobs and new projects as well in the repository. 

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