Data Engineering

Apache Kafka for Modern Data Pipelines: A Practical Guide to Building Real-Time, Scalable Streaming Systems

February 02, 2026 at 01:24 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Modern businesses don’t just store data-they move it. Customer clicks, payments, IoT telemetry, application logs, and operational events are generated continuously, and teams increasingly need those signals in real time […]

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Modern Data Architecture for Business Leaders: What It Is, What’s Changed, and What to Do Next

January 29, 2026 at 04:30 PM | Est. read time: 15 min By Valentina Vianna Community manager and producer of specialized marketing content Modern data architecture isn’t just an IT topic-it increasingly shapes speed to market, customer experience, operational efficiency, and compliance risk. The way your company collects, governs, shares, and uses data determines whether

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Is Data Mesh Right for Every Company? Benefits, Risks, and Real-World Trade‑offs

January 30, 2026 at 01:34 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Data Mesh has become one of the most talked-about approaches in modern data architecture-and for good reason. It promises faster delivery of data products, better alignment between data and business

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Databricks Lakehouse: Key Features and Real-World Use Cases (Plus When It’s the Right Choice)

January 30, 2026 at 01:30 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Modern data teams are under pressure to do everything at once: power dashboards, support ad hoc analysis, run machine learning, and keep governance airtight-all while costs and complexity keep rising.

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Snowflake vs Databricks: Technical Differences That Impact Cost and Performance (2026 Guide)

January 29, 2026 at 02:34 PM | Est. read time: 12 min By Valentina Vianna Community manager and producer of specialized marketing content Choosing between Snowflake and Databricks isn’t just a “data warehouse vs data lakehouse” debate anymore. Both platforms have expanded aggressively, and the real decision often comes down to technical architecture choices that

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Data Engineering in 2026: Skills That Truly Differentiate Senior Professionals

January 29, 2026 at 02:00 PM | Est. read time: 12 min By Valentina Vianna Community manager and producer of specialized marketing content Data engineering keeps evolving fast-but the difference between “experienced” and “senior” is becoming clearer every year. In 2026, it’s not just about building pipelines or knowing a handful of tools. Senior data

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Apache Airflow Concepts Every Engineer Should Know (and How to Use Them in Real Pipelines)

January 26, 2026 at 02:28 PM | Est. read time: 12 min By Valentina Vianna Community manager and producer of specialized marketing content Modern data and AI systems don’t run on “one-off scripts” for long. As soon as you have multiple sources, dependencies, schedules, retries, and stakeholders who expect consistent results, you need a workflow

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

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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Event-Driven Architecture with Redpanda (Kafka API): A Practical Guide to Building Real-Time Systems

January 16, 2026 at 11:55 AM | Est. read time: 18 min By Valentina Vianna Community manager and producer of specialized marketing content Event-driven architecture (EDA) is the backbone of modern real-time software-from fraud detection and IoT telemetry to order processing and personalized user experiences. Instead of forcing systems to constantly poll (“Has anything changed?”),

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dbt Cloud + CI/CD: Treat Analytics Engineering Like Software (Without Slowing Down)

January 15, 2026 at 12:56 PM | Est. read time: 14 min By Valentina Vianna Community manager and producer of specialized marketing content Modern data teams are expected to ship trustworthy analytics fast-while keeping definitions consistent, dashboards accurate, and costs under control. The problem? Many analytics workflows still rely on manual steps: someone updates a

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