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.
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.
This section describes how to upgrade HPE Data Fabric software.
HPE Data Fabric is the industry-leading data platform for AI and analytics that solves enterprise business needs.
This section describes how to manage the nodes and services that make up a cluster.
This section describes how you can get started learning about, installing, and using the HPE Data Fabric.
Lists topics that help manage a Data Fabric cluster.
Provides a synopsis of managing nodes in a cluster.
This section provide information about how to organize and manage data using volumes, a unique feature of HPE Data Fabric clusters.
Administration of the HPE Data Fabric Database is done primarily via the command line (maprcli) or with the Managed Control System (MCS). Regardless of whether the HPE Data Fabric Database table is used for binary files or JSON documents, the same types of commands are used with slightly different parameter options. HPE Data Fabric Database administration is associated with tables, columns and column families, and table regions.
A HPE Data Fabric gateway mediates one-way communication between a source HPE Data Fabric cluster and a destination cluster. You can replicate HPE Data Fabric Database tables (binary and JSON) and HPE Data Fabric Streams streams. HPE Data Fabric gateways also apply updates from JSON tables to their secondary indexes and propagate Change Data Capture (CDC) logs.
Synopsis on managing services.
Describes how to view CLDB information from the CLDB page, and provides an explanation of each field that the page displays.
Describes how to list CLDB nodes in the HPE Data Fabric.
Provides a short description on managing Drill services.
Provides an overview of managing the NFS for theHPE Data Fabric service on a licensed cluster.
Provides a brief synopsis of HPE Data Fabric POSIX clients.
Control groups (cgroups) are a Linux kernel feature available through the LinuxContainerExecutor program that you can configure to limit and monitor the CPU resources available to YARN container processes on a node.
Describes how to restrict access to queues using Access Control Lists (ACLs).
Lists the locations of the MapReduce configuration files.
Provides an overview of YARN.
This section describes how to monitor the health and performance of a MapR cluster.
Describes how to configure security and manage secure clusters.
Provides procedures that will enable you to use Data Fabric clusters securely.
The HPE Data Fabric Data Access Gateway is a service that acts as a proxy and gateway for translating requests between lightweight client applications and the HPE Data Fabric cluster. This section describes considerations when upgrading the service, how to modify configuration settings, and how to administer and manage the service.
This section contains in-depth reference information for the administrator.
Lists the common errors and their solutions.
Lists the best practices and performance considerations to follow when backing up HPE Data Fabric information.
Describes the IPv6 support feature for Data Fabric.
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.
This section contains release-independent information, including: Installer documentation, Ecosystem release notes, interoperability matrices, security vulnerabilities, and links to other Data Fabric version documentation.
Definitions for commonly used terms in MapR Converged Data Platform environments.
See Apche documentatrion Hadoop: Capacity Scheduler for more informarion.