The preview of the Stibo Systems Master Data Management (MDM) workload on Microsoft Fabric which integrates enterprise customers’ master data and ingests it directly into Fabric OneLake through their DaaS (Data as a service) feature to unlock analytics and AI use-cases for them is now available.
We are releasing the preview of a domain‑native data solution built as a workload in Fabric to power analytics and AI-enabled use-cases for capital markets and hedge fund customers in the finance industry. Financial institutions are moving fast to modernize their analytics stack and accelerate AI adoption, however in capital markets, data complexity remains the single biggest blocker to achieving that goal.
Industrial organizations generate a continuous stream of operational signals—temperature, pressure, flow, vibration, energy, and more. Much of that data is captured in plant historians, systems built to collect and store sensor and equipment data over long periods, often driven by compliance needs and operational reporting.
Introducing ArcGIS Maps for Fabric ArcGIS Maps for Microsoft Fabric is now available, bringing Esri’s industry-leading geospatial analytics along with dynamic, interactive mapping and visualization capabilities directly into Fabric. The new ArcGIS Maps workload empowers data professionals to visualize, explore, analyze, share location-based insights and integrate Esri’s authoritative data assets with their ArcGIS online service … Continue reading “Unlocking Geospatial Intelligence in Microsoft Fabric with Esri’s ArcGIS Maps Workload (Preview)”
Accelerating Product Innovation with Statsig Analytics on Microsoft Fabric Experimentation Analytics from Statsig offers a powerful new capability that’s set to transform how product teams innovate, measure product performance and make data-driven decisions to accelerate product adoption and growth. Imagine being able to unify experimentation, feature rollout, and impact analysis in one seamlessly integrated experience. … Continue reading “Statsig Experimentation Analytics (Preview)”
