One instance of Cloudera Manager (CM) can manage N clusters. In the current Role Based Access Control (RBAC) model, CM users hold privileges and permissions across everything in CM’s purview (including every cluster that CM manages). For example, Read-Only user John is a user who can perform all the actions of Read-Only users on all clusters managed by CM. The “Cluster Admin” user Chris is a cluster administrator of all the clusters managed by CM.
How-to: Automate Replications with Cloudera Manager API
Cloudera Enterprise Backup and Disaster Recovery (BDR) enables you to replicate data across data centers for disaster recovery scenarios. As a lower cost solution to geographical redundancy or as a means to perform an on-premises to cloud migration, BDR can also replicate HDFS and Hive data to and from Amazon S3 or a Microsoft Azure Data Lake Store.
Many customers may require an automated solution for creating, running, and managing replication schedules in order to minimize Recovery Point Objectives (RPOs) for late arriving data or to automate recovery after disaster recovery.
What’s New in Cloudera Director 2.8?
Cloudera Director 2.8 introduces a simpler way to create clusters in AWS or Microsoft Azure that requires less information to get started than the standard procedure. A new configuration export capability enables retrieval of a client configuration file for any cluster as a starting point to create new clusters.
Cloudera Director helps you deploy, scale, and manage Cloudera clusters in AWS, Microsoft Azure, or Google Cloud Platform.
New in Cloudera 5.15: Simplifying the end user Data Catalog for the Self Service Analytic Database
Self-service BI and exploratory analytics are some of the most common use cases we see our customers running on Cloudera’s analytic database solution. Over the past year, we made significant advancements to provide a simpler user experience for SQL developers and make them more productive for their everyday self-service BI tasks and workflows by leveraging Hue as the SQL development workbench.
With the recent release of Cloudera 5.15,
YARN FairScheduler Preemption Deep Dive
The multi-part blog post Untangling Apache Hadoop YARN provided an overview of how the YARN scheduler works. In this post we discuss technical details around how FairScheduler Preemption works and best practices to consider when configuring it.
We also present a recent overhaul of FairScheduler Preemption in CDH 5.11 which attempts to address a number of issues as documented in YARN-4752.
Definitions
Before we begin,