Supabase Architecture Deep Dive: How the “Open Source Firebase Alternative” Really Works

Data Engineering, Software Development /

January 22, 2026 at 10:21 AM | Est. read time: 14 min By Valentina Vianna Community manager and producer of specialized marketing content Supabase is often described as an open-source alternative to Firebase-but under the hood, its architecture is fundamentally Postgres-first. Instead of building an abstract data layer and bolting SQL on later, Supabase starts […]

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Power BI Architecture Explained: A Practical Guide to How Everything Fits Together

Business Intelligence /

January 21, 2026 at 06:07 PM | Est. read time: 13 min By Valentina Vianna Community manager and producer of specialized marketing content Power BI is often described as a “self-service BI tool,” but under the hood it’s a full analytics platform with distinct layers-data sources, ingestion, semantic modeling, visualization, security, and sharing. Understanding Power

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Airbyte Architecture and Use Cases: A Practical Guide to Modern Data Integration

Uncategorized /

January 21, 2026 at 04:33 PM | Est. read time: 18 min By Valentina Vianna Community manager and producer of specialized marketing content Moving data reliably between SaaS tools, databases, and warehouses is one of those “sounds simple, gets complex fast” problems. Schemas drift, APIs rate-limit you, data arrives late, and stakeholders still expect fresh

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BigQuery vs. Snowflake: When to Choose Google BigQuery Over Snowflake (and When Not To)

Data Analytics /

January 21, 2026 at 04:18 PM | Est. read time: 15 min By Valentina Vianna Community manager and producer of specialized marketing content Choosing between Google BigQuery and Snowflake isn’t about which platform is “better.” It’s about which one fits your data stack, team workflow, cost model, governance needs, and scaling patterns. Both are top-tier

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We Open-Sourced a Dead Link & SEO Tag Checker (and Why It Matters for Your Website)

Innovation /

January 21, 2026 at 01:21 PM | Est. read time: 8 min By Felipe Eberhardt CEO at BIX, crafting software that thinks and rethinks If you’ve ever launched a marketing page, published documentation, or maintained a growing blog, you’ve probably felt this pain: everything looks great-until months later, users start landing on broken links, outdated

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Data Science in Practice: Everything You Need to Know (From First Question to Real-World Impact)

Data Science /

January 20, 2026 at 01:00 PM | Est. read time: 16 min Data science can feel like a buzzword-filled universe-models, pipelines, MLOps, dashboards, A/B tests, and “AI transformations.” In practice, successful data science is much simpler (and more disciplined) than it sounds: it’s the process of turning messy, real-world data into decisions, products, and measurable

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Building Trust in Nearshore Software Development: A Practical Guide for High-Performing Teams

Software Development /

January 20, 2026 at 12:53 PM | Est. read time: 16 min By Valentina Vianna Community manager and producer of specialized marketing content Trust is the difference between a nearshore partnership that feels like an extension of your team and one that constantly requires oversight, rework, and damage control. The good news: trust isn’t vague

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Why Invest in Data in 2026: The Smartest Growth Move You Can Make

Data Science /

January 20, 2026 at 12:49 PM | Est. read time: 18 min By Valentina Vianna Community manager and producer of specialized marketing content Data is no longer a back-office concern. It’s how modern companies decide faster, serve customers better, and run with fewer costly handoffs. The organizations pulling ahead aren’t just collecting more data-they’re building

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AI Agents in Manufacturing: The Practical Guide to Smarter Plants, Faster Decisions, and Higher Quality

Artificial Intelligence /

January 20, 2026 at 12:43 PM | Est. read time: 17 min By Valentina Vianna Community manager and producer of specialized marketing content Manufacturing has always been a race against time, variability, and cost. Today, that race is increasingly won (or lost) based on how quickly a plant can detect problems, respond to change, and

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Data Observability with Monte Carlo and Bigeye: How to Catch Data Issues Before They Hit the Business

Data Analytics /

January 16, 2026 at 12:13 PM | Est. read time: 18 min By Valentina Vianna Community manager and producer of specialized marketing content Modern analytics stacks move fast-new pipelines, new sources, new transformations, new dashboards. But the faster you ship, the easier it is for data incidents (broken dashboards, incorrect KPIs, silent pipeline failures) to

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