Abstract: Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

Ever feel like creating custom columns in Power Query is more frustrating than it should be? The process can often feel overwhelming, especially when you’re juggling null values, complex calculations, ...

The query optimizer is a crucial component in a relational database system and is responsible for finding a good execution plan for a SQL query. For cloud database service providers, the importance of ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

With the official release of Microsoft's latest database offering, let's see what was improved and what still needs some work. Today, at Ignite, Microsoft announced the general availability of SQL ...

Abstract: According to recent trends, the size of databases is increasing rapidly, which calls for the need for larger databases that can be scaled to support future upgrades without compromising ...

YouTube video creation has evolved quite a bit since the platform launched over 20 years ago. Over the years, YouTube has become one of the most important social platforms on the planet, with millions ...

If I remove the OR condition inside the parhentesis works. My first thought is to debug the execution and at a certain point the query is "flatten". Not sure why, maybe for index optimization? In the ...

The mini project centers around optimizing an existing PySpark script (original_optimize.py). The script performs a query that retrieves the number of answers per question per month. The original ...