IBM DataStage 面接の質問と回答
質問 16. Explain the role of the Pivot stage in IBM DataStage.
The Pivot stage is used for rotating or transposing data in a DataStage job. It is useful when you need to change the structure of the data.
Example:
You can use the Pivot stage to transform rows of data into columns or vice versa.
質問 17. What is a Shared Container Variable in DataStage, and how is it different from a Job Parameter?
A Shared Container Variable is a variable defined within a Shared Container and is accessible by all jobs using that container. It differs from a Job Parameter, which is specific to a single job.
Example:
You can use a Shared Container Variable to store configuration information shared across multiple jobs.
質問 18. What are the types of joins supported by the Join stage in DataStage?
The Join stage in DataStage supports inner joins, left outer joins, right outer joins, and full outer joins.
Example:
You might use a left outer join in the Join stage to retrieve all records from the left input and matching records from the right input.
質問 19. Explain the concept of data lineage in IBM DataStage.
Data lineage in DataStage refers to the tracking and visualization of the flow of data from its source to its destination in a data integration process.
Example:
Using data lineage, you can trace how a specific data element moves through various stages in a DataStage job.
質問 20. What is the purpose of the Change Capture stage in DataStage?
The Change Capture stage is used to identify and capture changes in data between two data sets. It is often used in incremental data extraction scenarios.
Example:
You can use the Change Capture stage to capture changes in customer data since the last extraction and update the data warehouse accordingly.
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