Data Science

The Future of Work in Data, AI, and Analytics: Skills, Roles, and What Teams Need Next

January 29, 2026 at 04:59 PM | Est. read time: 12 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. The data and analytics world isn’t just evolving-it’s reorganizing itself. In the last few years, we’ve watched traditional reporting teams turn into modern data platforms, data scientists expand into AI […]

The Future of Work in Data, AI, and Analytics: Skills, Roles, and What Teams Need Next Read More »

Data Engineer vs. Analytics Engineer vs. Data Scientist: How to Choose the Right Role for Your Data Team

January 29, 2026 at 01:51 PM | Est. read time: 12 min By Valentina Vianna Community manager and producer of specialized marketing content Building a data-driven company isn’t just about “hiring data people.” It’s about hiring the right kind of data expertise for the outcomes you need-reliable pipelines, trustworthy metrics, predictive insights, or all of

Data Engineer vs. Analytics Engineer vs. Data Scientist: How to Choose the Right Role for Your Data Team Read More »

Great Expectations in Production Pipelines: How to Build Trustworthy Data Validation from Dev to Deploy

January 22, 2026 at 10:31 AM | Est. read time: 15 min By Valentina Vianna Community manager and producer of specialized marketing content Modern analytics and machine learning live or die by data quality. A single upstream schema change, a silent null explosion, or a “helpful” ETL tweak can break dashboards, degrade model performance, and

Great Expectations in Production Pipelines: How to Build Trustworthy Data Validation from Dev to Deploy Read More »

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

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

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

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

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

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

Redis Beyond Caching: Queues, Streaming, and Persistent Agents (With Real-World Patterns)

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

Redis Beyond Caching: Queues, Streaming, and Persistent Agents (With Real-World Patterns) Read More »

Building an Internal MCP Server for Seamless Integration Between Data Teams

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

Building an Internal MCP Server for Seamless Integration Between Data Teams Read More »

Cloud Backends for Games: Firebase vs Custom vs Fully Managed (How to Choose the Right Stack)

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

Cloud Backends for Games: Firebase vs Custom vs Fully Managed (How to Choose the Right Stack) Read More »

Predictive Analytics: develop strategies for your future based on data

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

Predictive Analytics: develop strategies for your future based on data Read More »