SAP BODS Course Info : http://goo.gl/Pv86EY
How BODS came into existence
What is Gartner
Is an online survey tool
What are the Versions in BODS
Why should we go for SAP BODS
What are the versions in Data Services
What are the segments of BO
1. Reporting
2. Data Service
Data Services is a combination of Data Integrator and Data Quality which provides the ETL facility.
What are the major reasons of adaptability of Business Objects:
1.Flexible in nature
2.Fast at the time of execution and migration
Business Objects can connect to any of the source and any of the target irrespective of the type Data and nature of Data like Flat files, XmL file, data base table, sap table or a web service. Any source and any target is quite possible with BO, and Bo is fastest ETL tool because NO Data is saved with in the tool.
Why BODS
What are the different migration mechanisms.
What does BODS allows you to do with the Data
How code promotion is done across the Repository
How the code promotion is done to the Quality central repository
What are the Dos and Donts
How to create a secure central repository administration and architecture
AIO – All in one methodology
BPTM – Best practice for Data migration
How Data Services play major role in the projects
What is EIM: What are the tools of EIM: Why it is required in the current market:
Enterprise Information Management is designed in such a way, which is build on SO (service oriented) architecture, delivers the right data in the right time, and solid information, and data combined from various sources and consistent business definition, timely information and the quality of the data.
How does the Data get cleansed in Data Services: It goes through a continuous cycle until it meets a particular score or rank, First it goes through an assessment face where it try to understand the quality of the data and the type of defects and no of defects. It will try to analyze the nature and cause of defect whether it is generated in the source Data or by some new calculated column created or any business rule that has been implemented, and once the data assessment is done it goes to the data cleansing part where it tries to separate the bad data from the good data in the parsing and tries to standardize the bad data and scrubs the bad data by doing some correction measure by referring it with some backend algorithm.
How does the data get enhanced in Data Service: It adds additional information to the data to make it more correct and then it goes to match and consolidate to identify the potential duplicates the data.
When Data Services Launched:
Data Service is both Platform and Product and it is launched Q1 2008,” XI 3.0” is the official name of EIM platform. It is one Platform and Environment that can do both data integrator data quality management which is a complete solution.
What are the Data Services Pillars:
1.Enterprise Agility
2.Trusted Information
3.Operational Excellence
4.Enterprise Class
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