Introduction It's Black Friday. In the space of a single second, your e-commerce platform processes 4,000 orders, updates inventory counts, triggers fulfillment workflows, and debits customer accounts. Every one of those operations lands in your OLTP database, fast, atomic, precise. None of it, in that same second, tells you that customers are abandoning their carts at three times the normal rat
PostgreSQL Query Rewriting Techniques The previous articles in this series covered performance problems you fix by adding indexes, restructuring joins, or tuning memory. This one is about the queries where the plan is "fine" — every node is doing something reasonable — but the query itself is asking the wrong question, producing unnecessarily large intermediate results or forcing the planner dow
Show HN: Let – Offline-first life events tracker (React Native, SQLite)
You've likely heard that "Data is the new oil". But raw oil is useless without a refinery. In the world of Big Data, Apache Spark is that refinery. Whether it's millisecond-level fraud detection or processing terabytes of logs, Spark's ability to handle massive scale with in-memory speed is why it remains a core skill for every ML & Data Engineer. Here are 5 real-world problems and exactly how Spa
What if your Kubernetes cluster simply refused to run unsigned images? I spent some time experimenting with enforcing image provenance in a small Kubernetes setup using MicroK8s. The idea was simple: Only container images with valid cryptographic signatures are allowed to run in the cluster. For this I used: GitLab CI/CD (build + signing pipeline) Cosign / Sigstore (image signing) Kyverno (admissi
Data is no longer treated as a byproduct of business operations and has become one of the most valuable organizational assets. Every interaction on a banking application, e-commerce platform, hospital system, logistics network or social media service generates data continuously. As organizations increasingly adopt digital workflows, cloud platforms, machine learning systems and real-time applicati
In modern data-driven organizations, managing and analyzing data efficiently is critical. OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing) are both integral parts of data management, but they have different functionalities. Understanding how they differ, and how they complement each other is essential for anyone working with data systems. Online Transaction Processing (
🚀 The Complete Guide to Pass the DP-750 Beta Certification Exam — Azure Databricks Data Engineer Associate Today I have something important for you. I've created a specific guide to help you pass your DP-750 beta certification. How to master Azure Databricks, Unity Catalog governance, and Apache Spark to confidently pass the Microsoft DP-750 certification — the most complete study roadmap for d