Procore Interview Questions, Process, and Tips

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 ...read more

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 ...read more

Improving problem complexity involves optimizing algorithms, reducing time/space usage, and leveraging data structures effectively.

• Analyze the algorithm's time complexity; for example, switching from O(n^2) to O(n log n) using a more efficient sorting algorithm.

• Utilize appropriate data structures; for instance, using a hash table for O(1) average time complexity in lookups instead of O(n) with arrays.

• Implement memoizat...read more