As fintech platforms grow, the mix of performance tuning and security oversight becomes harder to manage manually. Systems ...

Data Volume. Cloud usage generates data at a per-hour level that leads to volumes of data that can reach ~150TB, making it ...

Hina Gandhi, software engineering technical leader, Cisco, offered tips and techniques to pave the way for autonomous, efficient data pipelines that continuously adapt to changing workloads and ...

From ER diagrams to advanced SQL queries, mastering database design unlocks the ability to turn raw data into actionable insights. Practical labs, real-world projects, and optimization techniques help ...

From crafting lightning-fast queries to building dashboards that tell a story, SQL remains the backbone of modern analytics. Whether you're optimizing joins, mastering window functions, or automating ...

The gap between human and AI performance on database tasks will shrink over time, but more complex problems will still ...

According to @_avichawla on Twitter, QueryWeaver is now available on GitHub as an open-source toolkit for optimizing graph-augmented retrieval and natural language queries over knowledge graphs, ...

Digital Healthcare Architect specializing in the design and integration of enterprise healthcare platforms. Digital Healthcare Architect specializing in the design and integration of enterprise ...

Abstract: DataFrame libraries are widely adopted in data science for their flexible, Pythonic interfaces, but their fragmented APIs and unstructured query patterns limit systematic optimization.

Existing index tuners typically rely on the “what if” API provided by the query optimizer to estimate the execution cost of a query on top of an index configuration. Such cost estimates can be ...

The SQL optimizer incorrectly alters the logic of a query that uses CTEs and nested JOIN operations. WITH `res` AS ( SELECT `t2`.`id`, CAST(IF(NOT `t3`.`id` IS NULL, 1, 0) AS BIGINT) AS `id_active`, ...