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 […]

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

January 15, 2026 at 03:15 PM | Est. read time: 16 min By Valentina Vianna Community manager and producer of specialized marketing content When most developers hear “Redis,” they immediately think cache-and for good reason. Redis is famously fast, simple to operate, and perfect for reducing database load. But stopping there leaves a lot of

January 09, 2026 at 02:15 PM | Est. read time: 14 min By Valentina Vianna Community manager and producer of specialized marketing content When data teams scale, “integration” becomes less about moving data from A to B—and more about coordinating people, permissions, tooling, and standards across analytics, engineering, data science, and operations. That’s where an

January 07, 2026 at 01:46 PM | Est. read time: 16 min By Valentina Vianna Community manager and producer of specialized marketing content A great game can be ruined by a shaky backend. Players don’t care why matchmaking failed or how your leaderboards got corrupted—they just know they’re not having fun. Choosing the right cloud

Discovering what the future holds has never been as possible as it is today! With predictive analytics, your organization can not only understand the present but also predict future trends and behaviors. This tool, which combines data, statistics, and machine learning, helps guide strategic decisions: from optimizing operations to personalizing service offerings. The truth is

December 19, 2025 at 02:02 PM | Est. read time: 13 min By Valentina Vianna Community manager and producer of specialized marketing content Manual data documentation ages fast. Audit evidence lives in scattered screenshots. And when a dataset breaks, the hunt for “what changed and why?” can take hours—if not days. Pairing dbt’s transformation-as-code model

December 19, 2025 at 01:45 PM | Est. read time: 15 min By Valentina Vianna Community manager and producer of specialized marketing content Data pipelines are now mission-critical products, not behind-the-scenes plumbing. When a job silently drops 3% of records, a Kafka consumer slows, or a dbt model’s schema shifts overnight, the impact hits customers,

December 19, 2025 at 02:14 AM | Est. read time: 15 min By Valentina Vianna Community manager and producer of specialized marketing content Modern data environments don’t stand still. Schemas evolve, APIs change, volumes spike, and business questions shift by the hour. In this context, static pipelines break; intelligent, communicating “data agents” adapt. This guide

December 18, 2025 at 01:22 PM | Est. read time: 14 min By Valentina Vianna Community manager and producer of specialized marketing content If you’re comparing dbt and Apache Airflow, you’re likely trying to answer a deceptively simple question: which tool should I use for my data pipelines? Here’s the short answer—dbt and Airflow solve