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
December 17, 2025 at 03:29 PM | Est. read time: 15 min By Valentina Vianna Community manager and producer of specialized marketing content Choosing between Databricks and Snowflake isn’t just a tooling choice—it’s an architecture decision that will shape your data strategy for years. Both platforms promise the “lakehouse” ideal: the flexibility of data lakes
Databricks vs. Snowflake in 2026: The Architecture-Level Guide to Lakehouse Decisions Read More »
December 17, 2025 at 03:20 PM | Est. read time: 16 min By Valentina Vianna Community manager and producer of specialized marketing content Choosing the right cloud data warehouse is one of the most consequential decisions a data team makes. It affects query performance, cost predictability, governance, time-to-insight, and the total complexity of your data
December 16, 2025 at 02:11 PM | Est. read time: 12 min By Valentina Vianna Community manager and producer of specialized marketing content Data-driven organizations don’t win because they hire data engineers, data scientists, and analysts separately. They win when those disciplines work as one. The convergence of data engineering, data science, and analytics isn’t
December 17, 2025 at 11:58 AM | Est. read time: 12 min By Valentina Vianna Community manager and producer of specialized marketing content If your organization is serious about data governance, you’ve probably looked at DataHub—the open-source metadata platform that centralizes assets, lineage, ownership, and policies across your stack. But to unlock DataHub’s value at
Terraform + DataHub: A Practical Guide to Building a Secure, Auditable Metadata Platform Read More »
Airbyte Made Practical: How to Build Reliable Data Integrations and ELT Pipelines November 19, 2025 at 01:01 PM | Est. read time: 15 min By Valentina Vianna Community manager and producer of specialized marketing content If you’re stitching together data from SaaS apps, databases, and files into a warehouse or lakehouse, Airbyte is one of
Airbyte Made Practical: How to Build Reliable Data Integrations and ELT Pipelines Read More »
Apache Kafka Explained: Your Practical Guide to Real‑Time Data Processing and Streaming November 17, 2025 at 03:00 PM | Est. read time: 15 min By Valentina Vianna Community manager and producer of specialized marketing content Real-time data is no longer a nice-to-have—it’s the backbone of modern digital experiences. From fraud detection and live dashboards to
Apache Kafka Explained: Your Practical Guide to Real‑Time Data Processing and Streaming Read More »