Can you explain the difference between dense rank and rank in SQL? How do you handle challenges when working with very large datasets?
Anonymous
I explained that RANK() leaves gaps when there are ties, while DENSE_RANK() assigns consecutive ranks without gaps. I also gave an example using a sales dataset for clarity. I explained that I focus on optimizing queries, using partitioning, indexing, and window functions in SQL, and leverage distributed frameworks like Spark or Databricks for scalability. I also highlighted the importance of monitoring performance and breaking down workloads efficiently.
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