Debunk LLM 'reasoning.' Go 'under the hood' to uncover the computational reality of AI's language abilities. It's about statistical power, not human thought.
This article explores how Apache Doris and DeepSeek work together to simplify and enhance real-time data analysis through natural language and powerful OLAP tools.
Microservices are powerful but often overused. Modular monoliths offer a simpler, scalable way to structure applications, especially at the start of a project.
Learn how to use Snowflake Cortex to classify customer sentiment and categorize feedback by theme—then automate it weekly using nothing but SQL. No ML training required.
Traditional hashes miss unknown malware. Similarity digests like TLSH, ssdeep, and sdhash improve detection by comparing file similarities. This article benchmarks them.
Explore how the Mandelbrot set, a complex fractal generated by simple math, serves as a benchmark for testing computing power memory and parallel processing.
When you need a quick assessment of your service’s ability to handle a load of 100+ requests per second, there’s no need to involve multiple teams in complex processes.
Managing time-series data is challenging. This article presents a metadata-driven aggregation approach that cuts storage by 10x and speeds up queries without ETL.
Data quality isn’t an afterthought anymore; it is real-time, embedded, and self-healing. Cloud ETL needs smart checks, not checklists. Trust your data before it lies.
Combine Apache Spark’s data processing with Drools’ rule engine to automate loan approvals based on credit scores, using a scalable, rule-based approach with Scala.
Use distributed tracing—the key third pillar of observability—to track requests across microservices and turn debugging from guesswork into precise insights.
Explore how PostgreSQL handles large data using TOAST and improves query speed with indexes like B-tree, GIN, and BRIN, cutting query times by over 90%.
Optimize your Snowflake data warehouse for speed, cost, and scale with practical tips on query tuning, resource management, and efficient data practices.
This guide shows how to move from a monolith to containers: containerize the app, split services gradually, adopt Kubernetes, automate with CI/CD, and modernize.