What is operational data source (ODS)?
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An Operational Data Store (ODS) integrates data from
multiple business operation sources to address operational
problems that span one or more business functions. An ODS
has the following features:
• Subject-oriented — Organized around major subjects
of an organization (customer, product, etc.), not specific
applications (order entry, accounts receivable, etc.).
• Integrated — Presents an integrated image of
subject-oriented data which is pulled from fragmented
operational source systems.
• Current — Contains a snapshot of the current
content of legacy source systems. History is not kept, and
might be moved to the data warehouse for analysis.
• Volatile — Since ODS content is kept current, it
changes frequently. Identical queries run at different
times may yield different results.
• Detailed — ODS data is generally more detailed than
data warehouse data. Summary data is usually not stored in
an ODS; the exact granularity depends on the subject that
is being supported.
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It is a collection of integrated databases designed to
support operational monitoring. Unlike the OLTP databases
the data in the ODS are integrated, subject oriented and
enterprise wide data.
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Hi Guys, I have been to L& T last week ..Please find the questions mentioned below 1)Slowly changing dimension types 2)DML statement 3)DDL statement 4)write a syntax to create database 5) differences between count(*) and count(column) 6) differences between union and union all 7) what is decode 8) what is NVL 9) Arrange the values in ascending order 10,5,20,15,null 10)Primary and surrogate key 11)what is group by clause does? 12)what is difference between truncate and delete 13)what is difference between OLAP and OLTP ? 14)Architecture of Datawarehouse 15)how do you test the data validation from source as (flat file and xml) to staging tables. 16)what is shedule and time bound the mentioned above question asked in two rounds.all the best
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