When you’re working with the vast world of machine learning models, especially large language models (LLMs) like LLaMA, a fundamental question always arises: How much Graphics Memory (VRAM) do I need for my work? Accurately understanding this requirement not only…
One of the most common issues in many organizations and data teams is a messy and disorganized Data Warehouse. This problem usually develops over time due to rapid team growth, evolving analytics needs, onboarding new members without proper documentation, and…
A few weeks ago, in the chaos of war and crisis, I talked to you about the importance of backups. From pg_dump and mysqldump to mongoexport and rsync; about how we can prevent data loss during critical situations. Now that…
To be honest, these days, with the constant sound of explosions echoing from all corners of the country, I don’t feel well—and writing a new blog post is the last thing on my mind.But given the terrible situation we’re in…
Data is the lifeblood of organizations. Yet, throughout my career, I’ve often encountered the reality that having data alone isn’t enough. What truly matters is how we organize and effectively use that data. This is where the art and science…
In today’s world—where data is the beating heart of smart decision-making—the right question can completely shift the direction of an organization. If you’re a manager or business owner, you likely face a mountain of data every day. But the real…
Let’s be real. Running a small business is no joke. You’re juggling sales, customer satisfaction, team morale, and a thousand other spinning plates. Every dollar counts. And yet—you might be leaking money without even realizing it. I’m not talking about…
You’re probably dealing with a ton of big and small tasks in the exciting world of startups, just like many of us. From collecting customer data to updating the website and sending out newsletters, there’s a lot that needs to…
Six months ago, I became the lead of our data team. Before that, I was deeply technical — writing ETL pipelines, building internal tools, automating everything I could get my hands on. I loved the focus, the flow, the satisfaction…
From Python scripts and cron jobs to Dockerized ETL services and Apache Airflow orchestration—this guide walks through my journey of building scalable data pipelines with real-world lessons. Perfect for data engineers and beginners alike!
