This article was first published on: 2020-03-14. This article will probe the performance benefits of columnstore indexes, on a transactional (OLTP) workload for real-time analytics. We'll cover examples from each of the followings - Pivot, Aggregate Functions, Analytic Functions, Ranking Functions and Window Functions.
Author: Brahmanand Shukla
Clustered Index Key – Natural or Surrogate?
This article will follow a practical approach to choose the right candidate for clustered index. It'll investigate through the best practices recommended for clustered index, with the help of an experiment.
COVID-19, a wake-up call
COVID-19 is the only pandemic I've seen in my whole life. It gave me a whole new percepective of the life. Kaal (Time) is mightiest of everyone and everything. We occasionally forget this when we are in good times. For Kaal everyone is equal. Be it poor, be it rich or be it king. No-one … Continue reading COVID-19, a wake-up call
Performance Tuning with Computed Columns
Computed Column can be utilized to optimize the query performance. It can be leveraged, to make the query sargeable, to make proper use of available indexes. In this article, we'll perform a test to see, how computed columns can help in performance tuning.
Demystifying STUFF() function
This article will talk about myth with Stuff() function that it can be only used for concatenation. We'll do the reality check to demystify the Stuff() function.
