About Release 7.0
This site contains documentation for HPE Ezmeral Data Fabric release 7.0, including installation, configuration, administration, and reference content, as well as content for the associated ecosystem components and drivers.
7.0 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.
7.0 Data Fabric
HPE Ezmeral Data Fabric is the industry-leading data platform for AI and analytics that solves enterprise business needs.
- HPE Ezmeral Data Fabric File Store
  HPE Ezmeral Data Fabric File Store is a distributed file system for data storage, data management, and data protection. File Store supports mounting and cluster access via NFS and FUSE-based POSIX clients (basic, platinum, or PACC) and also supports access and management via HDFS APIs.
- HPE Ezmeral Data Fabric Object Store
  The HPE Ezmeral Data Fabric Object Store is a native object storage solution that efficiently stores objects and metadata for optimized access.
- HPE Ezmeral Data Fabric Database
  HPE Ezmeral Data Fabric Database is an enterprise-grade, high-performance, NoSQL database management system that you can use for real-time, operational analytics.
- HPE Ezmeral Data Fabric Streams
  HPE Ezmeral Data Fabric Streams brings integrated publish and subscribe messaging to the Data Fabric Converged Data Platform.
- HPE Ezmeral Unified Analytics
  Describes the HPE Ezmeral Unified Analytics Software and provides a link to more information.
- Kubernetes Interfaces for Data Fabric
  This section describes the Kubernetes Interfaces for Data Fabric, which include the Container Storage Interface (CSI) driver for multiple container-orchestration systems, and the FlexVolume driver for Kubernetes.
- Cluster Management
  Provides a synopsis of the various cluster components and their management.
- Performance
  Describes how to tune system performance, manage RDMA, and optimize CLDB tables.
- Security
  Provides an overview of the data-fabric security features.
  - Authentication in Data Fabric
    Describes types of authentication available with the HPE Ezmeral Data Fabric and how to manage user authentication with the maprlogin utility.
    - Authentication Enhancements for Ticket Handling
      Describes limitations in the data-fabric SASL authentication mechanism for earlier releases and the enhancements to the mechanism for release 7.0.0.
      - Authentication Mechanism for Releases 6.1.x and 6.2.0
        Describes limitations of the authentication mechanism used in Releases 6.1.x and 6.2.0.
      - Authentication Enhancements for Release 7.0.0
        Release 7.0.0 extended data-fabric SASL to support cross-cluster communication.
  - Authorization in Data Fabric
    Describes the basics of authorization including Access Control Lists and Access Control Expressions.
  - Encryption in Data Fabric
    Describes encryption types available on the HPE Ezmeral Data Fabric.
  - Prevent Storage of Specified Types of Files
    Provides an overview of how to prevent certain types of files from being stored on certain volumes.
  - Impersonation in Data Fabric
    Describes impersonation in data-fabric, which allows centralized control of access to resources in the file system, HPE Ezmeral Data Fabric Database, and HPE Ezmeral Data Fabric Streams.
  - Auditing in Data Fabric
    Data Fabric allows you to log audit records of cluster-administration operations, and operations on directories, files, streams and tables.
  - Policy-Based Security
    Starting in core version 6.2.0 (EEP 7.0.0), HPE Ezmeral Data Fabric supports Policy-Based Security, a feature that administrators can use to classify security controls into a manageable number of security policies.
  - FIPS Compliance
    Describes how the HPE Ezmeral Data Fabric complies with Federal Information Processing Standard (FIPS) 140-2 Level 1.
  - Dynamic Data Masking
    Describes the Dynamic Data Masking feature that allows you to mask sensitive information when retrieving data.
  - External KMIP Keystore Overview
    Describes the External KMIP Keystore functionality.
  - Security for Ecosystem Components
    Whether you install data-fabric software by using the Installer or by using manual steps, the platform and its ecosystem components are installed with security ON by default.
  - Security Settings for Ecosystem Components
    Lists the security settings for all HPE Ezmeral Data Fabric ecosystem components.
  - Security Exceptions
    "Secure by default" means network-safe authentication and encryption. This page describes areas in which secure-by-default capabilities are not yet implemented for the data-fabric platform or ecosystem components. Included where applicable, are links to more information to help you work around those issues.
- YARN
- Client Connections
  The following sections describe how a client connects to local and remote data-fabric clusters.
7.0 Administration
This section describes how to manage the nodes and services that make up a cluster.
7.0 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.
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.

Authentication Enhancements for Release 7.0.0

Release 7.0.0 extended data-fabric SASL to support cross-cluster communication.

In previous releases, the data-fabric SASL protocol only supported authentication within the same cluster, even if the client had a valid ticket for the remote cluster. In release 7.0.0, the protocol was enhanced to address this limitation, and now supports authentication across different clusters, provided the client has a valid ticket for the destination cluster. Consequently, ecosystem components such as Drill and Hive now work across multiple clusters, if properly configured.