Learn how replication functionality for Apache Hive metadata and consistency benefits from automated HDFS snapshots benefit production environments.
A robust backup solution that is both correct and efficient is necessary for all production data management systems. Backup and Disaster Recovery (BDR) is a Cloudera Manager feature in Cloudera Enterprise that allows for consistent, efficient replication and version management of data in CDH clusters. Cloudera Enterprise BDR can be used for creating efficient incremental backups of HDFS and Hive data from multiple clusters,
Cloudera Enterprise 5.8 is now generally available (comprising CDH 5.8, Cloudera Manager 5.8, and Cloudera Navigator 2.7).
Cloudera is excited to announce the general availability of Cloudera Enterprise 5.8! Main highlights of this release include Impala read/write support on Amazon S3, a redesigned SQL query editor GUI, the expansion of role-based access control functionality to Cloudera Search, and the GA of Cloudera Navigator Optimizer to facilitate and optimize workload migrations.
The new cluster templates feature in Cloudera Manager 5.7 makes creating clusters faster and easier.
Often, after an Apache Hadoop cluster has been configured correctly, its admin will want to replicate the configuration in one or more clusters—whether for promoting a dev or staging cluster to production, or setting up a new production cluster with the same configuration as an existing one.
For Cloudera customers, until recently the process for replicating cluster configurations was manual and error-prone.
This new release contains, among other things, support for usage-based billing, deployments to Microsoft Azure, and deployments across providers or regions.
Cloudera Director is a manifestation of Cloudera’s commitment to provide a simple and reliable way to deploy, scale, and manage Apache Hadoop in the cloud of your choice. Cloudera Director enables you to deploy production-ready clusters for big data applications and successfully run workloads in the cloud. With Cloudera Director 2.1,
Learn why running real workloads on Cloudera’s internal EDH cluster is an important step in the overall QA process before releases.
At Cloudera, we strive to deliver a stable, reliable Apache Hadoop-based platform without sacrificing cutting-edge features. (See this post for an introduction to that process.)
In the past, we have written about how the Cloudera Support organization’s internal cluster helps improve the customer experience via CDH components such as Apache Impala (incubating) and Cloudera Search.