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 […]
“What were sales last quarter?” Business users increasingly expect: > “What changed, why, what should we do next, and can you open the ticket / notify the team / update the forecast?” Agent-like experiences require more than NLQ (natural language querying). They require: Context (business definitions, KPI logic) Trust (lineage, governance, quality signals) Workflow integration
Qlik and Agentic AI in 2026: What’s New, What’s Real, and What to Watch Next Read More »
February 09, 2026 at 05:43 PM | Est. read time: 13 min By Valentina Vianna Community manager and producer of specialized marketing content Hugging Face is one of the most practical ecosystems for applied AI-especially when you want to move quickly from an idea to a working prototype, then into a production workflow. If you’ve
Hugging Face in Practice: How to Use Models, Datasets, and Pipelines for Real‑World AI Read More »
February 09, 2026 at 05:24 PM | Est. read time: 16 min By Valentina Vianna Community manager and producer of specialized marketing content AI agents are moving fast-from answering simple support tickets to drafting code, summarizing meetings, and orchestrating multi-step workflows across tools. It’s natural to wonder: will AI agents replace teams? In most real-world
Will AI Agents Replace Teams? What Actually Changes (and What Doesn’t) Read More »
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,
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,
= 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
Great Expectations for Data Quality: How to Build Trust From Your First Pipeline Read More »
February 04, 2026 at 01:00 PM | Est. read time: 18 min By Valentina Vianna Community manager and producer of specialized marketing content Build vs buy data platform decisions come down to two forces: time-to-value and long-term differentiation. If you need trusted metrics fast, buying (and selectively outsourcing) gets you there. If the platform itself
Build vs. Buy in Data Platforms: When to Develop In‑House vs. When to Outsource Read More »
February 03, 2026 at 02:18 PM | Est. read time: 11 min By Valentina Vianna Community manager and producer of specialized marketing content Modern analytics teams are expected to deliver trusted, “always-on” data-fast. But speed without consistency creates a familiar mess: conflicting definitions, undocumented logic, broken dashboards, and a growing lack of confidence in reporting.
dbt: Transforming Data with Governance and Version Control (Without Slowing Teams Down) Read More »
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