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 ...

Discover the leading database management systems for enterprises in 2026. Explore key features, pricing, and implementation tips for selecting the best DBMS software to harness your data effectively.

The modern enterprise software landscape demands professionals who can seamlessly navigate the complexities of full-stack ...

Abstract: Oracle provides several options to aid performance, such as partitioning large tables, using materialized views, storing plan outlines, and many others. This chapter examines how DBAs can ...

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: 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 ...

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 ...

Modern big data systems run on cloud environments where resources are shared amongst several users and applications. As a result, declarative user queries in these environments need to be optimized ...