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Originally appeared on OmbuLabs Blog.A few months ago, we were tasked with building a platform that aggregates events across an entire city, concerts, gallery openings, museum exhi...
This project creates a daily digest for sellers in an enterprise system. Each seller handles accounts at a set of companies and needs to know when something happens at one of them:...
Learn what a Machine Learning Pipeline is, why it’s essential, how each stage works, its advantages and limitations, and how professionals…Continue reading on Medium »
Most enterprise data problems are not caused by machine learning models or dashboard tools. They usually start much earlier in the pipeline. A reporting table misses records after...
If you ask an AI coding agent to write a standalone Python script to parse a single JSON file, it will likely give you a perfect answer in seconds. But the same agent often breaks...
Large Language Models (LLMs) have fundamentally transformed modern software development by enabling engineers to build intelligent applications that can reason, plan, invoke extern...
How we split a tightly coupled Python pipeline into independently deployable services The post When One Process Becomes Too Much: Splitting a Pipeline into MCP Services appeared fi...
Session 2 of The Production RAG HandbookContinue reading on Medium »
the strange space in between
Data pipelines are the backbone of the modern enterprise, yet a barrier to entry exists for orchestrating them, making this critical capability unavailable to many data professiona...
Analytics teams do not get too upset about small errors. If a product dashboard is off by half a percent on a Tuesday, nobody files a ticket. If your marketing funnel counts some w...
A brand monitor, a competitive intelligence platform, a rank tracker, a social listener: four logins, no shared data. Here's a pipeline that can replace all four.
Asynchronous processing pipelines are a cornerstone of modern distributed systems, but wiring them together reliably can be complex. A typical pipeline built with queues or message...
В исходном orders.csv было 11 строк. До BI-витрины дошло 7, а валовая сумма 4720.30 после применения бизнес-правил превратилась в 2200.30 выручки. Четыре строки не исчезли: каждая...
The goal is not custom AMIs for every workload. It is to make dependency management, patching and recovery explicit platform responsibilities rather than repeated job-level tasks.
Introduction In the previous article, we learned about AWS CodeCommit, AWS's managed Git repository service. Although CodeCommit can store source code, simply storing code is no...
Senior data engineers are trained to be skeptical of proprietary platforms. When I entered a Palantir Foundry training bootcamp, I expected to find a slow, expensive alternative to...
About a year ago, I was building a terminal-based workflow manager called Glyph.Flow. It was mostly a learning project. I wanted to understand Python better, experiment with Textu...
Many Fabric migration estimates assume every ADF pipeline deserves a place in the target environment. This blog presents a business-led framework for retiring, consolidating, redes...
Moving beyond brittle ReAct loops to deterministic, stateful workflows.Continue reading on Medium »
Context Engineering for Production Agentic Systems, or Why Pipeline Beats Prompt This is Part 1 of a three-part field manual on engineering production agentic systems. Part 1 takes...
Real-time streaming pipelines are the operational backbone of modern enterprises, continuously processing everything from customer support interactions to transaction logs. Traditi...
AWS Glue makes it easy to get a PySpark pipeline running quickly. It is significantly harder to build one that stays maintainable as logic grows, performs reliably at scale, and do...
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