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I applied via LinkedIn and was interviewed in Aug 2024. There was 1 interview round.
Data warehouses are designed for analytical queries and reporting, while transactional databases are optimized for transactional processing.
Data warehouses are optimized for read-heavy workloads, allowing for complex queries and reporting.
Transactional databases are optimized for write-heavy workloads, ensuring data integrity and consistency.
Data warehouses often store historical data for analysis, while transactional ...
ETL is better for batch processing, ELT is better for real-time processing.
ETL is better for large volumes of data that need to be transformed before loading into a data warehouse.
ELT is better for real-time processing where data can be loaded into a data warehouse first and then transformed as needed.
ETL requires more storage space as data is transformed before loading, while ELT saves storage space by loading data fi
Data lake is a storage repository that holds a vast amount of raw data in its native format until it is needed.
Data lake stores raw, unstructured data from various sources.
Data lake allows for storing large amounts of data without the need for a predefined schema.
Data lake is cost-effective for storing data that may not have a clear use case at the time of storage.
Data warehouse stores structured data for querying and ...
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posted on 10 Mar 2015
based on 3 interviews
Interview experience
Senior Software Engineer
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Oracle
Amdocs
Automatic Data Processing (ADP)
Global Edge Software