Microsoft Fabric Blog explains how OneLake empowers developers and data engineers to integrate existing applications with Microsoft Fabric using familiar Blob and ADLS APIs, simplifying migration and supporting modern analytics.

OneLake APIs: Bring Your Apps and Build New Ones with Familiar Blob and ADLS APIs

Author: Microsoft Fabric Blog

Overview

OneLake is the unified data lake for Microsoft Fabric, designed to streamline data management and boost analytics capabilities across organizations. Its core advantage is seamless compatibility with prevalent Azure Data Lake Storage (ADLS) and Blob Storage APIs, enabling organizations to migrate workloads and modernize analytics without rewriting code.

Key Features

Seamless Migration: Move existing workloads and applications to OneLake using the same ADLS or Blob Storage APIs, eliminating the need for costly rewrites or changes to integrations.
Familiar Tools Support: Popular tools and SDKs like Azure Storage Explorer remain compatible; scripts and workflows built for ADLS and Blob Storage work out of the box.
Unified Data Management: OneLake unifies data silos, providing a standardized foundation for AI, ML, and analytics initiatives in Microsoft Fabric.

Using OneLake APIs

Applications can interact with OneLake using standard REST endpoints:

https://onelake.dfs.fabric.microsoft.com/<workspace>/<item>.<itemtype>/<path>/<fileName>
https://onelake.blob.fabric.microsoft.com/<workspace>/<item>.<itemtype>/<path>/<fileName>

These endpoints are drop-in replacements for existing services.
Compatible with DFS or Blob protocols, enabling immediate integration.

Why It Matters

Organizations have significant investments in cloud data platforms, and migrations can be resource-intensive. With OneLake’s API compatibility:

Existing tools and codebases work without significant modification
Focus remains on building new features, not on re-architecting old solutions
Developers save time and reduce operational disruption

Practical Example: C# Integration

The OneLake APIs in Action guide offers real-world samples, such as leveraging the Azure Blob Storage and Distributed File System (DFS) libraries in C# with OneLake endpoints. Key demos include:

Authenticating and accessing data using familiar APIs
Performance best practices for cloud file systems
Using mirroring to replicate on-premises data into OneLake Delta tables

Who Should Use This

Developers: Integrate OneLake into .NET apps using known storage SDKs
Data Engineers: Migrate and manage organizational analytics workloads quickly
Organizations: Unify data, streamline analytics, and support AI/ML initiatives without starting over

Resources

This content offers clear action steps for technical readers wanting to use Microsoft Fabric OneLake’s APIs in their existing solutions. It’s tailored for professional developers and data engineers migrating analytics and data workloads to the Microsoft ecosystem.

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