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.
Category: Performance Tuning
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.
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.
Leveraging WHILE LOOP
WHILE LOOP can be used for batch processing and can be helpful if you are dealing with huge data processing. Recently I did an analytics project where I had to iterate through 70K customers and generate the Monthly, Last One Year and Since Inception returns of all the customers and their respective benchmark index since … Continue reading Leveraging WHILE LOOP