Talend 面接の質問と回答
質問 31. What is the purpose of the tNormalize and tDenormalize components in Talend?
tNormalize is used for transforming data from a denormalized to a normalized format by splitting columns. tDenormalize, on the other hand, is used to transform data from a normalized to a denormalized format by merging rows.
Example:
These components are crucial for handling different data storage and reporting requirements efficiently.
質問 32. Explain the use of the tJavaRow component in Talend.
tJavaRow is used for custom row-level operations in Talend. It allows you to write Java code to perform calculations, validations, or any other row-wise transformations.
Example:
You can use tJavaRow to implement complex logic that cannot be achieved using standard Talend components.
質問 33. What is the purpose of the tELTInput and tELTOutput components in Talend?
tELTInput is used for reading data from an ELT (Extract, Load, Transform) database, and tELTOutput is used for writing data to an ELT database. They are optimized for working with ELT processing engines.
Example:
These components are designed for efficient data transfer between Talend and ELT databases like Teradata or Netezza.
質問 34. Explain the role of the tFlowMeterCatcher component in Talend.
tFlowMeterCatcher is used to capture and display statistical information about the execution of a Talend Job. It provides metrics such as input and output row counts, processing speed, and memory usage.
Example:
You might use tFlowMeterCatcher to monitor the performance of specific data flows within a Talend Job.
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