Case studies, strategic writing, and curated signals that show how modern data and AI work turns into measurable business leverage.
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Go here when you need decision framing, tradeoffs, and a stronger story for stakeholders or hiring.
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The latest references are translated into business context and linked back to concrete delivery patterns. This is the part of the site designed to earn repeat visits.
One investor who has backed both companies told the FT that justifying OpenAI's recent round required assuming an IPO valuation of $1.2 trillion or more — making Anthropic's current $380 billion valuation look like th...
By continuously optimizing data placement, smart tier ensures your storage costs are aligned with actual usage. The post Optimize object storage costs automatically with smart tier—now generally available appeared fir...
The basic agent pattern is familiar by now: a model connected to tools, reasoning,...
Every project below started with a business bottleneck — not a technology wish list. Scroll through to see how the right data architecture turned operational chaos into measurable clarity.
“Operational teams needed fresher analytics without buying a heavy black-box ELT layer. The real risk was solving latency by adding a stack nobody could explain, test locally, or evolve safely once...”
A runnable CDC stack that captures PostgreSQL WAL changes with Debezium, normalizes events in Python, and publishes analytics-ready bronze, silver, and gold layers with dbt and...
Read Case Study“Many teams want lakehouse scale but start with fragile scripts and unclear storage ownership. The hidden cost is coupling storage, compute, and governance so tightly that every new use case feels l...”
A lakehouse case that provisions AWS storage with Terraform, lands simulated event data in S3, and processes silver and gold Delta layers in Databricks with PySpark.
Read Case Study“Warehouse work often decays into undocumented SQL and manual cloud setup. That slows onboarding, weakens trust in the numbers, and makes every model change feel riskier than it should.”
A cloud-native analytics workflow that provisions BigQuery and storage with Terraform, ingests market data with Python, and tests warehouse models with dbt and GitHub Actions.
Read Case StudyDashboards anyone trusts. Pipelines that don't break on Monday morning. Data that arrives before the meeting starts — not after.
A runnable CDC stack that captures PostgreSQL WAL changes with Debezium, normalizes events in Python, and publishes a...
Read Case Study
A lakehouse case that provisions AWS storage with Terraform, lands simulated...
Case DetailsOpinionated asset
The Tech Radar turns experience into a reusable decision tool. It is one of the easiest ways to increase repeat traffic because the value compounds as the market shifts.
Coverage
24
Technologies across processing, storage, orchestration, and AI/ML.
Decision model
4x4
Four quadrants and four rings to make tradeoffs visible faster.
Use case
Planning and hiring
Useful for executive conversations, roadmap framing, and credibility building.
Retention play
Updated as the stack moves
A living asset gives people a reason to revisit beyond one-off portfolio browsing.
Patterns I see working. Architectures I'd bet on. Mistakes I've made so you don't have to.
While over 71,000 tech workers were laid off in Q1 2026, demand for data engineers grew ~23% year-over-year. The reas...
Agentic AI is eliminating the 3 AM pipeline failure call. Here is what self-healing infrastructure actually looks lik...
The $8.5 trillion industrial AI opportunity is fundamentally constrained by data engineering maturity. Here is how mo...