SQL is widely known for data querying and manipulation but systems do grow; data becomes larger; processes become repetitive and operations become sensitive. SQL has some features which enables it to be considered a fully fledged programming language. Some of the features which I discuss in this article are procedures, functions and transactions. Each of these concepts serve distinct purposes. Sto
Hi 👋, In this post we shall explore Bedrock's structured KB with this architecture: Upload CSVs to S3 > SNS Queue > Crawl data with Glue > Query with Redshift > Bedrock KB > Query with LLM. Let's do some of this with code. Let's get started. Clone the repo and switch to the project directory. git clone [email protected]:networkandcode/networkandcode.github.io.git cd structured-kb-demo/ Do a uv sync
AI. It's the buzzword on everyone's lips, the technology promising to revolutionize… well, everything. And, predictably, it's met with a healthy dose of skepticism, if not outright disdain. "It's unreliable," some say. "It hallucinates," others lament. "It's a crutch for those who don't understand the real work." Sound familiar? It should. Because this isn't the first time humanity has grappled wi
Subqueries vs. CTEs in SQL: A Practical Guide to Writing Cleaner, Smarter Queries Whether you're just getting comfortable with SQL or leveling up your data skills, two tools will come up again and again when working with complex queries: subqueries and Common Table Expressions (CTEs). They solve similar problems — breaking a complex query into manageable pieces — but they do it in different ways
Opinion: We Ditched All Third-Party Mobile SDKs – Cut App Startup Time by 30% for iOS 18 When iOS 18 launched, our team braced for the usual post-release performance tweaks. Instead, we hit a wall: our flagship app’s cold startup time had crept up to 2.8 seconds, well above Apple’s recommended 1.5-second threshold for optimal user retention. After months of debugging, we made a radical call: rem
In a previous post, I explored Codd's connection trap in PostgreSQL and MongoDB — the classic pitfall where joining two independent many-to-many relationships through a shared attribute produces spurious combinations that look like facts but aren't. The example followed Codd's 1970 suppliers–parts–projects model: we know which suppliers supply which parts, and which projects use which parts, but j
Automating Hermitage to see how transactions differ in MySQL and MariaDB
Barman – Backup and Recovery Manager for PostgreSQL