- What is a Complex View?
- What are Triggers ?
- Explain Analytic Functions
- How to drop a Constraint
- What are the Different Types of Constraint
- What is an External Table?
- How to do Top N Analysis ?
- What are the different types of Partition?
- Difference between Nested Subquery and Correlated Subquery
- What do you mean by Pivoting Insert in Oracle
A blog where you can explore everything about Datawarehouse, OBIEE, Informatica, Power BI, QlikView, Hadoop, Oracle SQL-PLSQL, Cognos and much more....
Sunday, 30 December 2012
SQL/PLSQL Interview Questions
Features of Informatica 9.5
Informatica
9.5 is the latest
version of Informatica which is designed to handle the huge volume of Data,
especially the big data. Informatica allows processing the demand of Big data
using the latest features.
Features of
Informatica 9.5
- Extracting data from Hadoop to deliver Big data as business reports
- Captures data from all social networking sites irrespective of their volume.
- Access and delivery of critical data using high availability of Informatica Power Exchange
- Enhanced LDAP integration, SSL remote access and support for Internet Protocol version 6 (IPv6)
- Reduces the risk of business errors with Informatica Data validation option
- Expands metadata management connectivity
- Supports push down optimization for Teradata
Informatica
9.5 increases the
Business value of the data with technologies for real-time data streaming,
proactive monitoring, pervasive data privacy and data governance. Also it
reduces the cost of the data by using methods such as DataValidation.
Now what Is Informatica
Data Validation?
Data
validation helps in
completing the data validation and reconciliation work without the use of
tedious SQL queries. We might come across duplicate and bad data while doing
data migrations and transformations.Data
validation avoids these bad
data and can be used in both Production as well as testing environment. It has
got a set of pre built operator for doing ETL testing and the results will be
expected data values as from source.Data
validation makes data
more reliable and uses less resource for the testing process. This can be
automated and used repeatedly.
Below are some other features of Informatica
Data validation
- A central repository for complete data validation tests and results.
- Incremental data validation for testing the newly loaded data
- Pre-built dashboards for validation
- Increased connectivity with all systems
- Set of Prebuilt operators
Informatica Data Validation
What is Data Validation??
Informatica Data validation helps in completing the data
validation and reconciliation work in Production and testing without the use of tedious SQL queries. We
might come across duplicate and bad data while doing data migrations and transformations. Data validation avoids these bad data and can
be used in both Production as well as testing environment. It has got a set of
pre built operator for doing ETL testing and the results will be expected data
values as from source.
Data validation makes data more reliable, trustworthy
and uses less resource for the testing process. This can be automated and used
repeatedly. Below are some other features of Informatica Data validation
- A central repository for complete data validation tests and results.
- Incremental data validation for testing the newly loaded data
- Pre-built dashboards for validation
- Increased connectivity with all systems
- Set of Prebuilt operators
Friday, 28 December 2012
Production or Support Phase in Data Warehouse Project Life Cycle
The
company needs to give the application support for one month by default.After
that based on the client's decision, the development company or some other
company will give the production support.
Create Target List View in OBIEE
The
create target list view is for users of Oracle's Siebel Life Sciences operational
application integrated with Oracle's Siebel Life Sciences Analytics
applications. Use it to create a Create Target List link in the results. Users
can click this link to create a target list, based on the results data, in
their Oracle Siebel operational application.
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