Data Analytics

The Future of SQL in a Distributed Data World: Why the “Old” Language Still Powers Modern Analytics

February 20, 2026 at 04:19 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. SQL has been declared “dead” more times than most technologies get updated. And yet, in a world of distributed data, real-time analytics, cloud warehouses, lakehouses, and streaming platforms, SQL remains […]

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Real-Time Analytics: When It Adds Value-and When It Doesn’t

February 16, 2026 at 03:44 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Real-time analytics has become one of those “must-have” buzzwords-right up until teams discover the hidden costs: streaming infrastructure, always-on monitoring, and the operational complexity of acting on data in seconds.

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Microsoft Fabric, Explained: Architecture, Key Benefits, and Common Adoption Challenges (Plus How to Overcome Them)

February 06, 2026 at 02:42 PM | Est. read time: 18 min By Valentina Vianna Community manager and producer of specialized marketing content Microsoft Fabric is Microsoft’s end-to-end analytics platform designed to bring data engineering, data integration, data science, real-time analytics, and business intelligence into a single, cohesive experience. Instead of stitching together multiple products,

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Beyond Pretty Charts: Why Dashboards Often Fail to Drive Real Decisions (and How to Fix It)

February 06, 2026 at 01:21 PM | Est. read time: 13 min By Valentina Vianna Community manager and producer of specialized marketing content Dashboards are everywhere-BI tools, product analytics, sales reporting, ops command centers. Yet many teams share the same frustration: the dashboard exists, the numbers update, but decisions don’t change. If you’ve ever heard,

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Why Data Quality Matters More Than Data Volume (and How to Get It Right)

February 05, 2026 at 02:56 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. It’s tempting to believe that more data automatically means better decisions. After all, we live in a world of analytics dashboards, customer data platforms, IoT streams, and AI models that

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Great Expectations for Data Quality: How to Build Trust From Your First Pipeline

= 0) Date bounds (e.g., created_at Notes: > – This example uses a Pandas DataFrame batch for readability (great for first implementations and many warehouse extracts). > – In production, you can point GX at your warehouse/lake (e.g., via SQLAlchemy, Spark) using the same expectation concepts. 1) Define an Expectation Suite (GX 1.0-style example) `python

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How to Build a Data Roadmap Aligned With Business Strategy (A Practical, Step-by-Step Guide)

February 03, 2026 at 02:23 PM | Est. read time: 12 min By Valentina Vianna Community manager and producer of specialized marketing content A data roadmap is only “successful” if it moves the business forward-not if it simply lists tools to buy, dashboards to build, or platforms to migrate. When organizations treat a data roadmap

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Azure Synapse Migration Strategies Ahead of the Move to Microsoft Fabric

January 29, 2026 at 04:23 PM | Est. read time: 14 min By Valentina Vianna Community manager and producer of specialized marketing content Microsoft Fabric is becoming a central part of Microsoft’s analytics direction-bringing data engineering, data science, real-time analytics, and BI into a more unified experience. For teams running workloads in Azure Synapse Analytics,

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ClickHouse for Real-Time Analytics: When Does It Make Sense?

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

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Google BigQuery: Everything You Need to Know to Scale Analytics (Without Managing Infrastructure)

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.

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