February 26, 2026 at 01:36 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Automated testing is a given in modern software engineering. Yet many data teams still rely on a mix of manual checks, ad-hoc SQL queries, and “it looked fine yesterday” confidence […]
Why Data Teams Also Need Automated Testing (Not Just Software Teams) Read More »
February 23, 2026 at 02:10 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Modern data systems are expected to do two things at once: deliver insights quickly and do it reliably at scale. That’s where the “streaming vs batch” decision becomes one of
Streaming vs Batch Processing: Choosing the Right Data Architecture for Your Business Read More »
February 23, 2026 at 02:21 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. For years, data teams have been stuck choosing between two imperfect worlds: data warehouses (fast and reliable, but rigid and costly at scale) and data lakes (flexible and affordable, but
Is the Data Lakehouse Just Hype-or a Natural Evolution of Modern Analytics? Read More »
February 20, 2026 at 02:41 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Modern analytics stacks rarely live in one place. A single dashboard might need customer attributes from a data warehouse, clickstream events from a data lake, and subscription data from an
Trino: Federated Queries Across Multiple Data Sources (Without Moving Your Data) Read More »
February 20, 2026 at 03:21 PM | Est. read time: 9 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Modern products live and die by what they know right now: fraud signals, IoT telemetry, clickstream behavior, logistics updates, pricing changes, and application health metrics. Batch pipelines can’t keep up
Apache Flink and Amazon Kinesis: Streaming at Scale (Without Losing Sleep) Read More »
February 19, 2026 at 02:13 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Modern data stacks move fast: new pipelines ship weekly, dashboards multiply, and “who changed what?” becomes a daily question. The problem isn’t that organizations lack data-it’s that they lack trust
DataHub and OpenLineage: A Modern Blueprint for Data Governance and End-to-End Lineage Read More »
February 18, 2026 at 01:33 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Modern data platforms move fast: new pipelines, new storage layers, new compute clusters, tighter security requirements, and constant cost pressure. If your infrastructure is still built by clicking around in
Terraform for Data Platforms: Infrastructure as Code That Scales (and Stays Sane) Read More »
February 16, 2026 at 03:27 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Real-time applications live and die by latency, throughput, and how quickly you can turn fast-moving events into decisions. Two popular technologies often considered for these systems are Redis (an in-memory
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
PostgreSQL vs MongoDB vs DynamoDB: How to Choose the Right Database for Your App in 2026 Read More »
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,
Database Decisions That Turn Into Expensive Mistakes (and How to Avoid Them) Read More »