HPE Ezmeral Data Fabric 6.1.x is In Maintenance and transitions to "End of Maintenance" in June 2024. Please see the latest documentation.

About MapR 6.1
This site contains the main documentation for Version 6.1 of the MapR Converged Data Platform, including installation, configuration, administration, and reference information.
6.1 Installation
This section contains information about installing and upgrading MapR software. It also contains information about how to migrate data and applications from an Apache Hadoop cluster to a MapR cluster.
- Planning the Cluster
  Describes information and factors used in planning your cluster.
- Installing MapR and MapR Ecosystem Components
  Describes how to install MapR software and ecosystem components with or without the MapR Installer.
- Installing the File Migration Service on the Edge Cluster
  Describes how to install the File Migration service on CentOS nodes.
- Installing the MapR XD Distributed File and Object Store
  Describes how to install MapR XD software with or without the MapR Installer.
- Installing MapR Data Fabric for Kubernetes
  This section describes how to plan for and install the MapR Container Storage Interface (CSI) Storage Plugin and the MapR Data Fabric for Kubernetes FlexVolume Driver.
- Installing MapR in the Cloud
  Provides an overview of MapR cloud installer capabilities.
- Installing Metering
  This section describes how to install Metering by using the MapR Installer or manual steps.
- Upgrading MapR Core or EEP Components
  Depending on your current configuration, you may choose to upgrade the release version (core), ecosystem components, clients, or monitoring components.
- Setting Up Clients and Services
  Describes how to set up and use interfaces to an cluster from a client computer.
- Setting Up the Control System
  Describes how to configure and access the Control System.
- Migrating to MapR
  Provides instructions for migrating business-critical data and applications from an Apache Hadoop cluster to a MapR cluster.
  - Planning and Initial Deployment
    There are a number of considerations to take into account before migrating from Apache Hadoop to MapR Hadoop.
  - Component Migration
    This section describes how to migrate customized components to MapR Hadoop.
  - Application Migration
    Before you migrate your applications to the MapR Hadoop distribution, consider testing your applications using a small subset of data.
  - Data Migration
    After you migrate your applications to the MapR cluster, you can copy your data from the Apache Hadoop HDFS to the MapR cluster.
  - Node Migration
    You can add decommissioned HDFS data nodes to your MapR cluster.
- Applying a Patch
  You can apply a patch by using the MapR Installer, by using the command line (a manual process), or by using an Installer Stanza.
6.1 MapR Data Platform
MapR Data Platform is the industry-leading data platform for AI and analytics that solves enterprise business needs.
6.1 Administration
This section describes how to manage the nodes and services that make up a cluster.
6.1 Development
This section contains information related to application development for Ezmeral ecosystem components and MapR Data Platform products, including the file system, Database (Key-Value and JSON), and Event Streams.
Other Docs
This section contains release-independent information, including: MapR Installer documentation, Ecosystem release notes, interoperability matrices, security vulnerabilities, and links to other MapR version documentation.
Glossary
Definitions for commonly used terms in MapR Converged Data Platform environments.

Migrating to MapR

Provides instructions for migrating business-critical data and applications from an Apache Hadoop cluster to a MapR cluster.

This guide provides instructions for migrating business-critical data and applications from an Apache Hadoop cluster to a MapR cluster.

The MapR distribution is 100% API-compatible with Apache Hadoop, and migration is a relatively straightforward process. The additional features available in MapR provide new ways to interact with your data. In particular, MapR provides a fully read/write storage layer that can be mounted as a filesystem via NFS, allowing existing processes, legacy workflows, and desktop applications full access to the entire cluster.

Migration consists of planning, deployment, and migration of components, applications, data, and nodes.

See the https://docs.datafabric.hpe.com/home/ReleaseNotes/c_relnotes_intro.html for up-to-date information about migration issues.