Data Engineering

February 13, 2026 at 03:52 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Choosing a database isn’t just a technical checkbox-it shapes your product’s performance, scalability, developer experience, and long-term costs. If you’re comparing PostgreSQL vs MongoDB vs DynamoDB, you’re likely building something […]

February 13, 2026 at 03:54 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Database choices often feel “technical” and therefore easy to postpone-or delegate without much oversight. But in practice, database decisions are business decisions. They shape performance, reliability, security, reporting, delivery speed,

February 12, 2026 at 02:28 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Machine learning teams often hit the same wall: it’s not the model that’s hard-it’s everything around it. Reproducibility, experiment tracking, consistent deployments, automated retraining, monitoring, and governance quickly become the

February 12, 2026 at 04:13 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Vector databases have quickly become a foundational piece of modern AI-especially if you’re building applications powered by semantic search, recommendation systems, RAG (Retrieval-Augmented Generation), or LLM chatbots over private data.

February 04, 2026 at 12:17 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Modern analytics and AI projects live or die by data movement. You can have a best‑in‑class warehouse, a solid BI layer, and a high-performing ML stack-and still struggle if your

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

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

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

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.

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