About Release 7.9.0
This site contains documentation for HPE Ezmeral Data Fabric release 7.9.0, including installation, configuration, administration, and reference content, as well as content for the associated ecosystem components and drivers.
7.9.0 Installation
This section contains information about installing and upgrading HPE Ezmeral 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.
7.9.0 Data Fabric
HPE Ezmeral Data Fabric is the industry-leading data platform for AI and analytics that solves enterprise business needs.
7.9.0 Administration
This section describes how to manage the nodes and services that make up a cluster.
7.9.0 Development
This section contains information related to application development for Ezmeral ecosystem components and HPE Ezmeral 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 Ezmeral 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 Ezmeral 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 Ezmeral 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 Ezmeral Data Fabric Streams. The service makes it possible for Apache Kafka clients written in any programming language to access topics in HPE Ezmeral Data Fabric Streams.
- HPE Ezmeral Data Fabric Streams and Apps
  HPE Ezmeral Data Fabric Streams brings integrated publish and subscribe messaging to HPE Ezmeral 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 Ezmeral Data Fabric.
  - Ecosystem Packs
  - Apache Airflow
    This topic provides an overview of Apache Airflow on HPE Ezmeral Data Fabric.
  - AsyncHBase
  - Cascading
  - Apache Drill
  - Hadoop
  - HBase
  - HBase Client and HPE Ezmeral Data Fabric Database Binary Tables
  - HCatalog
  - Hive
  - HttpFS
  - Hue
  - Livy
    Apache Livy is primarily used to provide integration between Hue and Spark.
  - HPE Ezmeral Data Fabric Streams Clients and Tools
    Describes the supported HPE Ezmeral Data Fabric Streams tools and clients.
  - NiFi
    This topic provides an overview of Apache NiFi on HPE Ezmeral Data Fabric.
    - Accessing NiFi UI
      This topic describes how to access NiFi the UI.
    - NiFi Logs
      This topic describes how to view the logs for NiFi on HPE Ezmeral Data Fabric.
    - Configuring NiFi
      This topic describes where to locate configuration files for NiFi and how to configure NiFi for cluster mode.
    - Starting, Stopping, and Restarting NiFi Services
      This topic describes how to start, stop, and restart NiFi services on HPE Ezmeral Data Fabric.
    - NiFi Security
      This topic describes how the Login Identity Provider provides authentication options for username and password for NiFi.
    - Integrating NiFi with EEP Components
      This topic describes how to configure NiFi to work with other EEP components in HPE Ezmeral Data Fabric. The information in this topic relates specifically to the EEP components and HPE distribution for Apache NiFi.
    - Installing Custom Processors for NiFi
      This topic describes how to install custom processors for NiFi.
  - OTel
    This topic provides an overview of OpenTelemetry on HPE Ezmeral Data Fabric.
  - Ranger
  - Apache Spark
  - YARN
  - Zeppelin
- Maven and the HPE Ezmeral Data Fabric
  This section discusses topics associated with Maven and the HPE Ezmeral Data Fabric.
- Developer's Reference
  This section contains in-depth information for the developer.
- API Documentation
  HPE Ezmeral Data Fabric supports public APIs for file system, HPE Ezmeral Data Fabric Database, and HPE Ezmeral 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.

NiFi

This topic provides an overview of Apache NiFi on HPE Ezmeral Data Fabric.

Starting from EEP 9.0.0, HPE Ezmeral Data Fabric supports Apache NiFi.

Apache NiFi is a dataflow system based on the concepts of flow-based programming which supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic. NiFi has a web-based user interface for the design, control, feedback, and monitoring of dataflows.

The following diagram shows the NiFi architecture:

To transfer data in and out of HPE Ezmeral Data Fabric, NiFi supports the following sources and sinks.

SQL Databases (MySQL, Postgres, etc.)
NoSQL Databases (MongoDB, Redis, etc.)
File storage (S3 compatible, SMB, FTP)
Cloud services (GCP, Azure, AWS)
HTTP requests
Other

To install NiFi, see Installing NiFi and to view the NiFi release notes, see NiFi Release Notes.

To learn more about NiFi, see Apache NiFi documentation.

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HPE Ezmeral Data Fabric – Customer-Managed 7.9.0 Documentation
Abstract	This site contains documentation for the customer-managed platform of the HPE Ezmeral Data Fabric version 7.9.0 including installation, configuration, administration, and reference content, as well as content for the associated bundled ecosystem components and drivers.
Published	November 2024
Edition	7.9.0