Knowledge base

The merger of Fivetran and dbt Labs brings together automated data ingestion and governed data transformation into one stronger foundation for modern data platforms. For customers, this means a smoother path from raw data to trusted, reusable data products. Ultimately, it helps reduce manual effort while improving data quality, governance, and readiness for analytics and AI.

Most organisations use Microsoft Teams and Qlik Cloud separately, which leads to delays, manual reporting, and missed updates. This article explains how to bridge that gap by integrating the two platforms. It highlights four practical use cases that bring data directly into Teams conversations to enable faster, data-driven decisions.

Claude in Excel, powered by Vena, brings AI-assisted analysis directly into familiar spreadsheets, helping finance teams work faster and more intuitively. While Claude accelerates modelling and insights, Vena adds the governance, structure and single source of truth needed for enterprise‑ready FP&A. Together, they combine speed with control, enabling smarter, scalable financial planning.

Qlik Gold Client eliminates SAP testing bottlenecks by enabling intelligent data subsetting with full business context, reducing test data volumes to just 2–5% of production. It ensures faster, more accurate testing with built‑in data masking and cross-system consistency. Ideal for complex SAP landscapes and S/4HANA migrations where speed, control, and compliance are critical.

GraphRAG goes beyond traditional RAG by not only retrieving relevant information but also following the chain of relationships between business entities. While Vector RAG finds similar text fragments, it often misses the causal links needed for real decision-making. GraphRAG, on the other hand, connects supplier, component, product, and customer data to deliver explainable, business-ready insights.

This final part explains how Databricks Genie delivers reliable, production-grade insights by combining strong context with smart configuration. By using Metric Views as a governed semantic layer and the Knowledge Store for tailored logic, teams can transform Genie from a generic AI into a trusted business partner. The right setup ensures consistent metrics, clearer data understanding, and high-quality Conversational BI outcomes.

FCA is a community-built cost‑intelligence layer for Microsoft Fabric that transforms raw Azure billing data into a clear, actionable model that shows exactly where your compute, storage, and PAYG costs come from.

Databricks Genie brings Conversational BI to life, letting business users ask natural questions and get transparent, SQL-backed answers instantly. With the Research Agent, Genie goes further—autonomously exploring complex business questions to uncover trends, root causes, and insights you won’t find in dashboards.

This insight explains how scheduler timeout errors can occur in Qlik Data Gateway when extracting large tables. It outlines why these timeouts happen in scheduled loads and presents SQL‑side pagination as a robust solution for extracting large, non‑incremental datasets reliably. Ideal guidance for teams migrating from Qlik Data Transfer to Qlik Data Gateway.