About Release 8.2.0
This site contains documentation for HPE Data Fabric release 8.2.0, including installation, configuration, administration, and reference content, as well as content for the associated ecosystem components and drivers.
8.2.0 Installation
This section contains information about installing HPE Data Fabric software. It also contains information about how to migrate data and applications from an Apache Hadoop cluster to a HPE Ezmeral Data Fabric cluster.
8.2.0 Upgrade
This section describes how to upgrade HPE Data Fabric software.
8.2.0 Data Fabric
HPE Data Fabric is the industry-leading data platform for AI and analytics that solves enterprise business needs.
8.2.0 Administration
This section describes how to manage the nodes and services that make up a cluster.
8.2.0 Development
This section contains information related to application development for Ezmeral ecosystem components and HPE Data Fabric products, including the file system, Database (Key-Value and JSON), and Event Streams.
- Application Development Process
  Before you start developing applications on the HPE Data Fabric platform, consider how you will get the data into the platform, the storage format of the data, the type of processing or modeling that is required, and how the data will be accessed.
- File Store and Apps
  The following sections provide information about accessing the File Store with C and Java applications.
- HPE Data Fabric Database and Apps
  This section contains information about developing client applications for JSON and key-value tables.
- Apache Kafka Wire Protocol Service
  HPE Data Fabric Streams supports Apache Kafka Wire Protocol Service. Apache Kafka Wire Protocol Service is a TCP/IP service that emulates a Kafka cluster backed by HPE Data Fabric Streams. The service makes it possible for Apache Kafka clients written in any programming language to access topics in HPE Data Fabric Streams.
- Model Context Protocol (MCP)
  - Getting Started with Data Fabric MCP
  - Configuring Data Fabric MCP Server
    This topic describes the configuration file and settngs for the Data Fabric MCP server. The configuration file /opt/mapr/data-access-gateway/conf/mcp-server.conf contains server options including network ports, SSL protocols, OAuth/SSO settings, and endpoint service configurations for Apache Spark and Apache Iceberg.
  - Data Fabric MCP Endpoints
    - MCP Endpoints for Filesystem
    - MCP Endpoints for Object Store
    - MCP Endpoints for Apache Iceberg Tables
    - MCP Endpoints for Apache Spark
    - MCP Endpoints for Apache Airflow
      The Apache Airflow MCP endpoint enables AI clients that support the Model Context Protocol (MCP) to view, start, troubleshoot and create Airflow DAGs on your Data Fabric cluster, with every action running as the user who asked for it.
  - Registering MCP Server with AI Applications
    This topics describes various configuration settings required for MCP.
  - Airflow MCP Integration for Agentic AI
    Airflow MCP lets AI clients that support the Model Context Protocol (MCP) view, run, troubleshoot and create Apache Airflow DAGs on your Data Fabric cluster, using your own identity.
- HPE Data Fabric Streams and Apps
  HPE Data Fabric Streams brings integrated publish and subscribe messaging to HPE Data Fabric.
- MapReduce and Apps
  This section contains information associated with developing YARN applications.
- Kubernetes Interfaces for Data Fabric
  This section describes how to leverage the capabilities of the Kubernetes Interfaces for Data Fabric.
- Ecosystem Components
  The following sections provide information about each open-source project that is supported by the HPE Data Fabric.
- Maven and the HPE Data Fabric
  This section discusses topics associated with Maven and the HPE Data Fabric.
- Developer's Reference
  This section contains in-depth information for the developer.
- API Documentation
  HPE Data Fabric supports public APIs for file system, HPE Data Fabric Database, and HPE Data Fabric Streams. These APIs are available for application-development purposes.
Other Docs
This section contains release-independent information, including: Installer documentation, Ecosystem release notes, interoperability matrices, security vulnerabilities, and links to other Data Fabric version documentation.
Glossary
Definitions for commonly used terms in MapR Converged Data Platform environments.

MCP Endpoints for Apache Iceberg Tables

Endpoints are used to query the Iceberg table from MCP server.

Starting with Data Fabric 8.1.0, the MCP server supports Apache Polaris as an Iceberg catalog backend, enabling centralized catalog management with Keycloak SSO authentication and Polaris role-based access control for Spark SQL queries. For setup details, see Configuring Polaris as a metastore for Spark.

Prerequisites

To use MCP Apache Iceberg endpoints, you must have Apache Spark, Apache Livy, Apache Hive meta store installed and configured in the cluster. See the following documentation for more information:

For Apache Livy, see Livy.
For Apache Spark, see Apache Spark.
For Apache Hive, see Hive.

Configuration

To enable MCP Iceberg endpoint, set enable to true in MCP configuration file:

spark {
enabled = true
}

Endpoint URL

https://<FQDN:5679/spark

Access Control

Allows read-only access to Iceberg tables, and to the creation of temporary views.

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HPE Data Fabric 8.2.0 Software Documentation
Abstract	This site contains documentation for HPE Data Fabric Software version 8.2.0 including installation, configuration, administration, and reference content, as well as content for the associated bundled ecosystem components and drivers.
Published	October 2026
Edition	8.2.0
Topic last updated	2026-05-01