1. Explain how Full Outer Join is implemented BODI?

- Full Outer Join is implemented by using SQL Transformation and writing custom query.

- Following example describes SQL Transformation to implement Full Outer Join:
select emp.*, dept.deptname, dept.deptno dno, dept.location from scott.employee emp
FULL OUTER JOIN
scott.department dept on (emp.deptno = dept.deptno) ;

- Following example illustrates custom query to implement Full Outer Join:

1. Drag EMPLOYEE, DEPARTMENT tables as src.
2. Place the query transform for performing the Left Outer Join.
3. Place one more query transform for performing the Right Outer Join.
4. Merge and load them into the target.

2. Tell me how SNMP Agent is associated with Data Integrator?

- Error events are communicated using applications are best supported by SNMP Agent.

- Errors are monitored better using SNMP.

- DI SNMP Agent need to be installed on any Job Server.

- Job servers information is recorded by DI SNMP Agent while running jobs.

- Network Management Software need to be configured for applications to communicate with DI SNMP Agent.

- The status of NMS applications will monitor the Data Integrator jobs.

3. What is the difference between Cascade and Drill Through?

Cascade:

- Cascade process involves taking values from various other prompts.

- The result is a single report.

- The result is used when a criteria is to be implemented.

Drill Through:

- Drill Through process is implemented when navigation from summary to detailed information.

- Drill Through has a parent and a child report.

- Data of another report can be seen based on the current details of data.

4. Explain what are the prime responsibilities of Data Integration Administrator?

- Scheduling and executing the batch jobs.

- Configuring, starting and stopping the real-time services

- Adapters configuration and managing them.

- Repository usage, Job Server configuration.

- Access Server configuration.

- Batch job publishing.

- Real-time services publishing through web services.

5. Can you explain Pivot – Columns to Rows?

- Data Integrator produces a row in the output data set for every value in the designated pivot column.

- More than one pivot column can be set as per the need of application's data integration.

- Pivot Sequence Column – Data Integrator increments a sequence number for every row created from a pivot column.

- Non-Pivot column – The columns that need to appear in the target.

- Pivot Set – A group of pivot columns, unique data field and header column.

- Data Field Column – It contains the pivot data along with pivot columns values.

- Header Column – Lists the name of the columns.

6. Explain History Preserving?

- History Preserving is for providing new row in the target instead of updating the existing row.

- The columns are indicated for transforming the changes that are to be preserved.

- New rows are created when the value of certain column changes.

- Each of these rows is flagged as UPDATE.

- The UPDATE flag is applied for the input data set.

7. Explain is Data integration And ETL programming is same?

- No, Data Integration and ETL programming are different.

- Passing of data to different systems from other systems is known as data integration.

- It may integrate data within the same application.

- ETL, on the other hand, is to extract the data from different sources.

- The primary ETL tool job is to transform the data and loads into other objects or tables.

8. What is Uniform Data Access Integration?

- UDAI places the data in the source systems.

- A set of views are defined for providing access the unified view to the clients / customers.

- Zero latency of data can be propagated from the source system.

- The generated consolidated data need not require separate storage space.

- Data history and version management is limited and applied only to the similar type of data.

- Accessing to the user data overloads on the source systems.

9. How to measure progress in Data Integration?

Look for the existence of the following items:-

- Generic Data Models

- An Enterprise Data Platform

- Identify the Data Sources

- Selection of a MDM Product

- Implementation of a Customer Master Index or appropriate alternative

10. Explain what are the factors that are addressed to integrate data?

Following are the data integration factors:

- Sub set of the available data should be optimal.

- Noise/distortion estimation levels because of sensory/processing conditions at the
time of data collection.

- Accuracy, spatial and spectral resolution of data.

- Data formats, storage and retrieval mechanisms.

- Efficiency of computation for integrating data sets to reach the goals.