https://store-images.s-microsoft.com/image/apps.21102.bc8eeb3c-ea2d-4e70-9c69-7cd143939d85.7bcb6f4b-5132-4778-996a-185f5fa5b41b.2bdba191-1f07-463f-b67c-e30af75c458d

Gencore AI for Azure Data Lake Storage

bCloud LLC

Gencore AI for Azure Data Lake Storage

bCloud LLC

Version 12.21.0 + Free with Support on Ubuntu 24.04

Gencore AI for Azure Data Lake Storage is a fully managed, secure, and enterprise-grade data lake service by Microsoft Azure. It enables organizations to store, manage, and analyze massive volumes of structured and unstructured data at scale. Azure Data Lake Storage is optimized for big data analytics, AI, and machine learning workloads, making it ideal for Gencore AI applications that require high-performance data ingestion, processing, and governance.

Features of Gencore AI for Azure Data Lake Storage:

  • Provides massively scalable storage designed for analytics and AI workloads.
  • Supports hierarchical namespace for efficient big data management.
  • Integrates with Azure Active Directory and RBAC for enterprise-grade security.
  • Offers encryption at rest and in transit, with comprehensive Azure compliance support.
  • Supports fine-grained access control, lifecycle management, and automated data archiving.
  • Seamlessly integrates with Azure Synapse, Databricks, and Gencore AI pipelines for advanced analytics.
  • Can be accessed from Linux systems including Ubuntu via Azure CLI, REST APIs, Hadoop-compatible interfaces, or SDKs.

To get started with Azure Data Lake Storage on Ubuntu 24.04 for Gencore AI, follow these basic steps:

$ sudo su
$ sudo apt update
$ source azure-env/bin/activate
$ az --version
$ pip show azure-storage-file-datalake

Disclaimer: Gencore AI for Azure Data Lake Storage is part of the broader Microsoft Azure platform and may require subscription, configuration of storage accounts, containers, and access permissions. Usage must comply with your organization's security and compliance policies. Gencore AI integration may require additional configuration for optimal performance.