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.
Describes the considerations for deployment of Data Fabric on public cloud providers such as Amazon Web Services, Google Cloud Platform and Microsoft Azure.
Describes how to work with the Data Fabric UI to manage multiple fabrics on-premise or in a hybrid cloud environment.
Summarizes the steps for enabling client communication with the HPE Data Fabric.
Provides reference information for the HPE Data Fabric.
Describes the ports used by HPE Data Fabric services.
This section provides examples of test cases conducted in a cloud deployment to prove the replication capabilities of Data Fabric in various failure scenarios.
The tables on this page show the Linux operating-system versions that are supported for HPE Data Fabric releases.
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.
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.