Mustafa Yılmaz
Big Data Engineer • Software Engineer • Builder
Writing about Big Data, AI, software engineering, data infrastructure, startups and products.
Latest Articles
Your Routine Is Your Real Personality
We often define ourselves by our goals. But the small choices we repeat each day have a greater influence on who we become.
Building an AI App Is Easier Than Convincing Someone to Pay for It
AI products attract curiosity easily, but converting free users into paying, retained customers requires a finished outcome, clear value, and sustainable economics.
Will Google Lose Power as LLMs Become Advertising Platforms?
As ChatGPT and other LLMs introduce sponsored content and AI agents, the battle for internet advertising may shift from search engines to decision engines. What does this mean for Google?
How Do You Communicate With Someone When You Share No Language?
If two intelligent beings share no language, culture, or even senses, how could communication begin? A look at first-contact communication through mathematics, physics, patterns, and shared reality.
MinIO AIStor and FlashBlade in the Enterprise S3 World
Comparing MinIO AIStor and Pure Storage FlashBlade in terms of performance, scalability, operations, security and total cost.
Why Big Projects Are Hard in Enterprises—and Why Startups Move Faster
Why enterprise projects slow down, how startups gain speed through short feedback loops, and how large teams can adopt startup culture without ignoring risk.
The Solo Founder Advantage in the AI Era: Build Fast, Validate Early, Win Distribution
A practical playbook for solo founders using Lovable and Replit to launch faster, validate real demand, and build a repeatable go-to-market engine.
Data Engineering Principles: Building Reliable Systems, Not Just Pipelines
Practical data engineering principles for designing reliable, scalable, observable and maintainable data platforms - from Kafka and CDC to data lakes and real-time analytics.
Building a Real-Time Lakehouse with Kafka, ClickHouse, Trino and Iceberg
Learn how Kafka, ClickHouse, Trino, S3, Parquet and Apache Iceberg work together to support real-time analytics, historical data and SCD tables.
SingleStore 9 vs. Previous Versions: A Practical Guide to the Real-Time, Hybrid Database
SingleStore 9 continues the evolution from a fast HTAP database into a broader real-time data platform for operational applications, analytics, search, and AI.
Apache Ranger Nedir ve Nasıl Kullanılır
Apache Ranger Nedir ve Nasıl Kullanılır APACHE RANGER NEDİR? Apache Ranger, Hadoop ekosistemindeki veri güvenliği, erişim denetimi ve denetim logları sağlamak için kullanılan açık kaynaklı bir güvenlik framework'üdür. Çe
Clickhouse-Postgresql Arasında Change Data Capture ve Trino Entegrasyonu - Overview
Clickhouse-Postgresql Arasında Change Data Capture ve Trino Entegrasyonu - Overview Change Data Capture - CDC Change Data Capture, bir veritabanında yapılan veri değişikliklerini (insert, update, delete gibi) gerçek zama
UnavailableInvalidChannel: The channel is not accessible or is invalid. hatası
UnavailableInvalidChannel: The channel is not accessible or is invalid. hatası UnavailableInvalidChannel: The channel is not accessible or is invalid. hatasının çözümü
Categories
Featured Articles
The Operating System After Apps: What Happens When Software Understands Your Goal?
What happens when software starts with your goal instead of an app? A practical vision for intent-driven operating systems, adaptive workspaces, and trustworthy AI agents.
Your Routine Is Your Real Personality
We often define ourselves by our goals. But the small choices we repeat each day have a greater influence on who we become.
Building an AI App Is Easier Than Convincing Someone to Pay for It
AI products attract curiosity easily, but converting free users into paying, retained customers requires a finished outcome, clear value, and sustainable economics.