Data Analytics

January 29, 2026 at 03:03 PM | Est. read time: 16 min By Valentina Vianna Community manager and producer of specialized marketing content Real-time analytics is now a baseline expectation: stakeholders want dashboards that reflect what happened seconds ago, not last night’s batch. If you’re tracking product events, infrastructure telemetry, or customer-facing usage metrics, the […]

January 29, 2026 at 02:07 PM | Est. read time: 12 min By Valentina Vianna Community manager and producer of specialized marketing content Modern analytics teams are under constant pressure: deliver insights faster, unify data from more sources, and keep costs predictable-all while data volumes keep growing. Google BigQuery is built for exactly that reality.

January 27, 2026 at 05:30 PM | Est. read time: 14 min By Valentina Vianna Community manager and producer of specialized marketing content When systems were simpler, you could often “monitor” an application by watching CPU charts and skimming a few server logs. Today, distributed architectures, microservices, serverless functions, and third-party APIs have changed the

The rapid digitalization of critical infrastructures has fundamentally reshaped the cybersecurity threat landscape. Systems that were once isolated and air-gapped are now deeply interconnected, combining traditional IT environments with Operational Technology (OT), Industrial Control Systems (ICS), and Industrial Internet of Things (IIoT). While this convergence enables efficiency, scalability, and real-time intelligence, it also exposes cyber-physical

January 26, 2026 at 01:11 PM | Est. read time: 12 min By Valentina Vianna Community manager and producer of specialized marketing content Tableau is famously easy to adopt-until your dashboards go from “one team, one workbook” to dozens of departments, hundreds of users, and data volumes that double every quarter. Suddenly, a dashboard that

January 26, 2026 at 01:06 PM | Est. read time: 14 min By Valentina Vianna Community manager and producer of specialized marketing content Google BigQuery is one of the most widely used cloud data warehouses for analytics-fast, scalable, and designed so teams can run complex SQL over massive datasets without managing infrastructure. But when performance,

January 22, 2026 at 12:08 PM | Est. read time: 14 min By Valentina Vianna Community manager and producer of specialized marketing content Snowflake is often summarized as “separation of storage and compute.” True-but the real value shows up in the details: how Snowflake stores data in micro-partitions, how virtual warehouses execute queries, and how

January 22, 2026 at 10:37 AM | Est. read time: 16 min By Valentina Vianna Community manager and producer of specialized marketing content Amazon Redshift is built for analytics at scale-but as data volumes grow and more teams run queries concurrently, performance can degrade in ways that feel mysterious: dashboards slow down, ETL jobs take

January 22, 2026 at 10:26 AM | Est. read time: 13 min By Valentina Vianna Community manager and producer of specialized marketing content Grafana has become one of the most widely used platforms for visualizing and understanding metrics across modern systems-everything from application performance to Kubernetes health, database throughput, and cloud infrastructure cost signals. When

January 21, 2026 at 04:18 PM | Est. read time: 15 min By Valentina Vianna Community manager and producer of specialized marketing content Choosing between Google BigQuery and Snowflake isn’t about which platform is “better.” It’s about which one fits your data stack, team workflow, cost model, governance needs, and scaling patterns. Both are top-tier