Tag Archives: administration

What’s New in Cloudera Altus Director 6.0?

Categories: Cloudera Director

Cloudera Altus Director 6.0 adds support for deploying CDH 6 clusters on public cloud infrastructure. Altus Director also features improved integration with SDX configured namespaces, allows encryption of its configuration properties, and includes a tool for copying its database. Altus Director’s interfaces have been streamlined, removing deprecated features and old API endpoints.

Cloudera Altus Director, formerly known as Cloudera Director, helps you deploy, scale, and manage Cloudera clusters in AWS,

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How-to: Quickly Configure Kerberos for Your Apache Hadoop Cluster

Categories: How-to Platform Security & Cybersecurity QuickStart VM

Use the scripts and screenshots below to configure a Kerberized cluster in minutes.

Kerberos is the foundation of securing your Apache Hadoop cluster. With Kerberos enabled, user authentication is required. Once users are authenticated, you can use projects like Apache Sentry (incubating) for role-based access control via GRANT/REVOKE statements.

Taming the three-headed dog that guards the gates of Hades is challenging, so Cloudera has put significant effort into making this process easier in Hadoop-based enterprise data hubs. In this post,

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How-to: Deploy and Configure Apache Kafka in Cloudera Enterprise

Categories: How-to Kafka

With Kafka now formally integrated with, and supported as part of, Cloudera Enterprise, what’s the best way to deploy and configure it?

Earlier today, Cloudera announced that, following an incubation period in Cloudera Labs, Apache Kafka is now fully integrated into Cloudera’s Big Data platform, Cloudera Enterprise (CDH + Cloudera Manager). Our customers have expressed strong interest in Kafka, and some are already running Kafka in production.

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New in Cloudera Manager 5.3: Easier CDH Upgrades

Categories: CDH Cloudera Manager

An improved upgrade wizard in Cloudera Manager 5.3 makes it easy to upgrade CDH on your clusters.

Upgrades can be hard, and any downtime to mission-critical workloads can have a direct impact on revenue. Upgrading the software that powers these workloads can often be an overwhelming and uncertain task that can create unpredictable issues. Apache Hadoop can be especially complex as it consists of dozens of components running across multiple machines.

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How-to: Deploy Apache Hadoop Clusters Like a Boss

Categories: Hadoop Hardware How-to

Learn how to set up a Hadoop cluster in a way that maximizes successful production-ization of Hadoop and minimizes ongoing, long-term adjustments.

Previously, we published some recommendations on selecting new hardware for Apache Hadoop deployments. That post covered some important ideas regarding cluster planning and deployment such as workload profiling and general recommendations for CPU, disk, and memory allocations. In this post, we’ll provide some best practices and guidelines for the next part of the implementation process: configuring the machines once they arrive.

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