Azure Data Lake Storage and Secoda work together to improve data discovery and governance, enabling organizations to efficiently handle and analyze large datasets with enhanced security and compliance measures.
Add to SecodaAzure Data Lake Storage and Secoda together provide organizations with a powerful foundation for managing, discovering, and governing large-scale datasets. This integration enhances the way teams interact with their data by centralizing access, improving documentation, and maintaining compliance at scale. By connecting Azure Data Lake Storage to Secoda, teams can streamline their workflows, reduce manual overhead, and ensure that critical data is both accessible and trustworthy across the organization.
Azure Data Lake Storage is a scalable cloud storage service for structured and unstructured data, often used to support analytics, machine learning, and reporting workflows. It serves as a central landing zone for raw and processed data across the enterprise. With deep integration into the Azure ecosystem, including support for hierarchical namespaces and fine-grained access control, it enables flexible storage management for large volumes of diverse datasets.
Secoda connects to Azure Data Lake Storage and automatically extracts metadata from supported file types, including Parquet, CSV, JSON, and more. It treats each storage container as a database, folders as schemas, and files as tables, mapping them into Secoda’s data catalog. The result is a structured and searchable view of your data lake, complete with column-level metadata. This enables users to quickly find datasets, understand their structure, and ensure proper documentation. Security and compliance are maintained throughout the process by leveraging Microsoft Entra ID for access control, supporting OAuth, managed identity, or service principal authentication methods.
The integration empowers organizations to consolidate their data assets into a single source of truth, with Azure Data Lake Storage serving as the foundation and Secoda providing the visibility and governance layer. By extracting and organizing metadata across thousands of files, Secoda gives teams the context they need to make data-driven decisions with confidence. Whether the goal is to improve collaboration across teams, speed up data onboarding, or maintain tighter control over data usage, connecting Azure Data Lake Storage to Secoda ensures that your data lake becomes an active, governed part of your analytics workflow.
The Azure Data Lake Storage integration in Secoda supports a variety of roles by simplifying access to metadata and improving data transparency across the organization. Data analysts use the integration to easily search and understand dataset structures without digging through raw files. Data stewards rely on it to monitor schema consistency and file format standards across containers. Compliance teams benefit from improved documentation coverage and visibility into data storage for audit readiness and governance.
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