Senior Abinitio Developer Interview Questions and Answers

Understanding Rollup, Normalize, and Reformat in Ab Initio for data transformation.

• Rollup aggregates data based on specified keys, e.g., summing sales by region.

• Normalize transforms data into a standard format, e.g., converting date formats.

• Reformat allows changing the structure of data, e.g., adding or removing fields.

• Output indexes in Reformat can help in maintaining data integrity and order.

Yes, it is possible to read a file while it is being written by another job in Abinitio.

• Abinitio supports reading a file while it is being written by another job using continuous graph execution.

• By using continuous graph execution, Abinitio can read the file as it is being written, ensuring data consistency.

• This feature allows for real-time processing of data without waiting for the entire file to be written.

• For example, a job can start processing a file as soon as the first ...read more

Design a graph to read a file which is continuously getting appended.

• Use Ab Initio components like GDE, Reformat, Partition, Join, etc.

• Create a graph with a continuous loop to read the file at regular intervals.

• Implement logic to handle new data being appended to the file while processing existing data.

• Consider using parallel processing for better performance.

• Use components like Rollup to aggregate data as needed.

Express>IT is a data integration tool in Ab Initio for efficient data processing and transformation.

• Express>IT allows for real-time data integration and transformation.

• It supports various data sources and formats, enabling seamless data flow.

• Example: Integrating data from a relational database and a flat file simultaneously.

• Express>IT can handle complex transformations using a graphical interface.

• It is particularly useful in scenarios requiring quick data processing, like ETL...read more