What Building Cricket Analytics Taught Me About Data Visualization
When most people watch a cricket match, they notice the obvious moments—a six into the stands, a fast bowler taking a wicket, or a last-over finish th…
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AI Analytics Row-Level Security: Let Users Ask Questions Without Leaking Data
The dangerous part of AI analytics is not that a model may write a bad chart title. It is that one friendly question can turn into a warehouse query y…
Firebase Analytics in React Native — Complete Implementation Guide
Analytics is one of the most valuable tools you can add to a mobile application. While building features is important, understanding how users interac…
Add Microsoft Clarity to Hugo with Cloudflare Zaraz - Without Redeploying
Adding Microsoft Clarity to a Hugo site normally means placing its tracking script in a base template, rebuilding the site, and deploying the change. …
Perceived Latency: The Invisible KPI Killing Voice Experiences
Perceived Latency: The Invisible KPI Killing Voice Experiences Your teams track conversion, NPS, session time. Nobody tracks the assistant's silence. …
Real-Time Analytics: When You Need It and When You Don't
"We need real-time analytics" is one of the most common requests in data engineering. It's also one of the most misunderstood. When the VP of Sales sa…
MarketNow is live in 33 countries — here's what the traffic actually looks like (no hype)
I run an MCP (Model Context Protocol) marketplace at marketnow.site . Today I pulled the Vercel analytics by country for the last period. Here's what …
Day 71 - Advanced Partitioning Strategies for Petabyte-Scale Tables
As datasets grow into the petabyte range, choosing the right partitioning strategy becomes one of the most important architectural decisions in ClickH…
Day 63: Advanced ClickHouse® Dictionaries – Integrating External Data Sources for Faster Lookups
Introduction Modern analytics platforms rarely store all business data in one place. Customer information may reside in PostgreSQL, product catalogs i…
Meta Pixel not firing? The 6 real causes, in the order to check them
"The Meta Pixel isn't firing" is one of the most common things I get called in to fix. The frustrating part is that "the pixel is installed" and "the …
Day 57: Internals of ClickHouse® Data Parts and Merges – A Complete Guide
Introduction One of the reasons ClickHouse® can handle massive analytical workloads with exceptional speed is its storage architecture. Unlike traditi…
Power BI Is More Than Dashboards: Why It Belongs in Modern Data Work
Despite the rise of Python, R, notebooks, cloud warehouses, and custom analytics platforms, Power BI remains one of the most important tools in my dat…
My best-looking ROAS campaigns were quietly destroying subscription revenue
Campaigns with the cleanest ROAS dashboards had collapsed subscription attach rates — from 40% down to under 12% — and nobody noticed for weeks. Here'…
How to Analyze Storefront Elements by Revenue Impact, Not Just CTR
Most ecommerce teams can tell you where traffic comes from. Fewer teams can tell you which storefront components actually move revenue. That gap matte…
Hunting Digital Chameleons: How We Defeated Botnets in Laravel v2.4.0
In the world of web traffic, there’s a simple rule: if it looks like a regular user, walks like a user, and even brings its favorite cookies along—it …
Best real-time analytics database for star schema and fast joins (2026 guide)
Modern OLAP databases like ClickHouse now handle star schemas and complex cross-table joins at massive scale. That gives data engineering teams a real…
Adding one field to our CAPI payload moved match rate from 66% to 79% overnight
Adding hashed phone number to an already-live CAPI integration — nothing else — pushed match rate 13 points in a single day. That's the kind of result…
How to Design an Event-Driven Analytics Pipeline — A System Design Deep Dive
Interview prep series: real problems, real trade-offs, no hand-waving. The Problem Worth Solving Here's a scenario straight from a fintech startup I w…
Day 35 – ClickHouse® and S3 Integration: Querying Data Lakes
Introduction Modern organizations generate massive amounts of data that need to be stored and analyzed efficiently. As data volumes continue to grow, …
Measuring Engagement Without Conversions: How We Evaluate MVPs at Inithouse
When you're running early-stage MVPs, the standard playbook breaks down fast. ROAS? Meaningless when you have 3 signups a week. Conversion rate? Stati…
Conversion Tracking for Developers: From Zero to Full Funnel Visibility
You can't optimize what you don't measure. Every blog post about conversion optimization, A/B testing, or paid ads assumes you have reliable tracking …
Day 25 of 100 Days of ClickHouse: Mastering the ClickHouse HTTP API
ClickHouse HTTP API: A Complete Beginner's Guide Introduction When most people think about interacting with a database, they usually imagine connectin…
Vector Search in Elasticsearch: From Keywords to Meaning - Building Semantic Search and RAG Pipelines
You type "k8s deployment troubleshooting" into your documentation search. The top result is a page about Kubernetes architecture that never mentions t…
A Merchant Center disapproval wiped 40% of our SKUs the day a 6-week promo launched
Three days into November, a disapproval cascade pulled 40% of active SKUs from Shopping and Performance Max simultaneously — on day one of a promotion…
What is the best real-time analytics database in 2026? An engineering buyer's guide
Traditional databases just can't keep up with high concurrency and low latency at the same time. The term "real-time" has become kind of meaningless. …
Day 14 of #100DaysOfClickHouse: Understanding Nodes, Shards, and Replicas
When people first start learning ClickHouse®, they usually focus on SQL queries, table engines, and performance optimization. But as data grows from m…
I Built My Own Analytics Platform Instead of Paying for PostHog
Introduction Let me clear one thing up right out of the gate: this is not a teardown of PostHog. In fact, PostHog is an incredible piece of software a…
From Network Cables to Data Pipelines: My 8-Month Journey from IT Support to Data Analytics
May 25, 2026. This is not just another date on my calendar. This marks the beginning of one of the biggest professional transitions of my life. After …
How Excel is Used in Real-World Data Analysis
I have began my journey as a beginner in the data analysis field by learning excel. I have previously used excel to store data but never really consid…
Why Dremio's Value Is Unique to Apache Iceberg Lakehouses and Agentic Analytics
Most data teams have already made two decisions, even if they haven't written them down yet. The first is that Apache Iceberg will be the table format…