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Ekaa Analytics helps you turn Microsoft Fabric into a unified data and AI platform that brings data engineering, warehousing, real‑time analytics, data science, and BI together on OneLake.
Ekaa Analytics designs Fabric architectures that use OneLake shortcuts, mirroring, and lakehouse patterns so data from multiple clouds and on‑prem systems lands once and is reused everywhere, with governance and performance baked in.
With Fabric IQ, we help you move from a data platform to an intelligence platform, combining ontologies, semantic models, graph, and AI‑powered data and operations agents to turn raw telemetry into real‑time decisions. We connect Fabric to Azure AI Foundry so Fabric Data Agents can safely answer questions and act over your governed data estate, grounding GenAI in enterprise truth instead of ad‑hoc prompts.
On integration, we use Fabric Data Factory, new mirroring sources, and SAP‑aware connectors to bring in SAP data with zero‑ or low‑ETL into OneLake. Take advantage of the emerging Database Hub to give your teams a single place to observe, govern, and optimize databases across Azure SQL, Cosmos DB, PostgreSQL, SQL Server (via Arc), and Fabric‑native stores. All of this is wrapped in a Fabric‑native governance model Purview.
Environment & Architecture: Design end-to-end Fabric environments, including workspaces, capacities, and OneLake layout.
Data Platform Patterns: Implement lakehouse/warehouse patterns with shortcuts and mirroring for multi-cloud and hybrid data.
Governance by Design: Enable built-in governance using Purview, policies, and lineage from day one.
Intelligence Platform: Use Fabric IQ to evolve from a data platform to an intelligence platform with shared semantics and a knowledge graph.
Centralized Management: Leverage Database Hub for observability, performance monitoring, and lifecycle management.
Semantic Layer: Build reusable semantic models to consistently power BI, Copilot, and Fabric Data Agents.
GenAI Integration: Connect Fabric to Azure AI Foundry for secure, grounded GenAI over enterprise data.
AI Agents & Automation: Design and deploy Fabric Data Agents to answer questions, automate workflows, and orchestrate pipelines on governed data.
ML & RAG Readiness: Prepare feature stores and vector-ready datasets for machine learning and RAG use cases.
SAP Data Ingestion: Ingest S/4HANA, BW/BW4, HANA, and Datasphere into OneLake using mirroring and SAP-aware connectors.
Unified Data Products: Blend SAP, Dynamics, Snowflake, and other sources into consistent, reusable Fabric data products.
Standardized Pipelines: Use Fabric Data Factory, notebooks, and event-driven patterns for scalable, reliable data pipelines.
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