About Release 8.0.0
This site contains documentation for HPE Data Fabric release 8.0.0, including installation, configuration, administration, and reference content, as well as content for the associated ecosystem components and drivers.
8.0.0 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.
8.0.0 Upgrade
This section describes how to upgrade HPE Data Fabric software.
8.0.0 Data Fabric
HPE Data Fabric is the industry-leading data platform for AI and analytics that solves enterprise business needs.
8.0.0 Administration
This section describes how to manage the nodes and services that make up a cluster.
8.0.0 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.
  - Step 1: Select a Data Storage Format
    Consider the data format options and determine how you want to use to store your data.
  - Step 2: Write Data to HPE Data Fabric
    Depending on your use case, move existing data onto the HPE Data Fabric platform or write data directly to the platform.
  - Step 3: Explore Ways to Work With the Data
    Once the data is in the HPE Data Fabric platform, explore the various features and components available on the platform and determine your path. You may want to access data in its initial format or perform some data modeling or processing prior to accessing the data.
  - Step 4: Set Up the Development Environment
    Before you start building the application, figure out how your the application will connect to the cluster and what the library dependencies and installation requirements are.
    - Connect to the Cluster
      Application are often run on nodes that are not part of the Data Fabric cluster. There are many methods to connect to a Data Fabric cluster; this section briefly describes each option.
    - HPE Data Fabric Database JSON Application Requirements
      The following tables include the minimal node requirements for building and running HPE Data Fabric Database JSON table applications.
    - HPE Data Fabric Database Binary Application Requirements
      The following tables include the minimal node requirements for building and running HPE Data Fabric Database binary table applications.
    - HPE Data Fabric Streams Application Requirements
      The following tables include the minimal node requirements for building and running HPE Data Fabric Streams consumer and producer applications.
    - File System Application Requirements
      The following tables include the minimal node requirements for building and running file system applications.
    - YARN Application Requirements
      The following tables include the minimal node requirements for building and running YARN applications.
  - Step 5: Build the Application
    Start building an application! This section lists a few of the sample applications available in HPE Data Fabric.
- 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)
- 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.

HPE Data Fabric Streams Application Requirements

The following tables include the minimal node requirements for building and running HPE Data Fabric Streams consumer and producer applications.

Java Applications

Node Requirement	Method(s) to Meet Requirement
A connection to the Data Fabric cluster.	Select one of the following options: Install and configure the Data Fabric client. Install the PACC and run an application container. Use the file system JAR to connect to the cluster. For more information, see Connect to the Cluster.
The Streams Java Client is installed.	Install the HPE Data Fabric Streams Java Client. The HPE Data Fabric Streams Java client (`mapr-kafka`) is available as part of the EEP installation. For more information, see 8.0.0 Installation. NOTE The Streams Java Client is included when you install PACC.
Streams Java client and the Data Fabric Streams project library files are configured as an application dependency.	When you build the application, use the Maven Repository to determine the dependencies. The POM file should include the Data Fabric Repository, the HPE Data Fabric Streams Java Client dependency, and the HPE Data Fabric Streams project dependency. When you run an application, include the dependencies in the application's classpath. For more information, see Compiling and Running HPE Data Fabric Streams Java Apps
Other Items	If an ecosystem component, such as Spark, runs or integrates with the application, you may need to include additional dependencies in the POM file.

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HPE Data Fabric 8.0.0 Software Documentation
Abstract	This site contains documentation for HPE Data Fabric Software version 8.0.0 including installation, configuration, administration, and reference content, as well as content for the associated bundled ecosystem components and drivers.
Published	November 2025
Edition	8.0.0
Topic last updated	2023-12-08