A new reinforcement learning optimizer called LIGHT uses dynamic graph attention and logarithmic reward shaping to cut query ...

Learn how to query Databricks Iceberg tables with Lakehouse runtime catalog through bi-directional federation with Databricks ...

Discover 20 practical AWS cost optimization strategies for EC2, EKS, S3, RDS, and networking, with pricing examples and a ...

Cloud database indexing improves query performance and helps backend teams build reliable systems that scale under production ...

Explore why modern data lakehouses slow down at scale and how metadata growth, small files, partitioning, and maintenance ...

Introduction As datasets grow, processing them efficiently on a single machine can become challenging due to limitations in ...

In modern data utilization, Google Cloud's BigQuery has been adopted as a core data warehouse by various companies. Consequently, demand for engineers with practical experience is growing in freelance ...

An agent embedded in a mobile app or a field device needs to run locally and reconcile with the rest of the system once ...

The theme for this time is SQL "execution plans."Execution plans are one of the technologies you absolutely must understand when considering database performance.However, this content might also be a ...

The SQL Server Query Optimizer is a cost-based Query Optimizer. This means that it selects query plans that have the lowest estimated processing cost to execute. The Query Optimizer determines the ...

A popular performance tuning book gets updated for SQL Server 2025, how does it fare? Ian Stirk takes and in depth look and finds it pretty good. This well-liked SQL Server book examines performance ...

GitHub hosts a wide range of database repositories that support developers working with database systems, SQL tools, and modern data engineering workflows. These open source database tools help power ...