Tag Archives: cloud storage

What’s New in Cloudera Director 2.7?

Categories: Cloudera Director

Cloudera Director 2.7 introduces support for LDAP authentication, improved Java 8 support, and instance template level normalization configuration. Continuing improvements have been made to the AWS plugin.

Cloudera Director helps you deploy, scale, and manage Cloudera clusters in AWS, Azure, or Google Cloud Platform. Its enterprise-grade features deliver a mechanism for establishing production-ready clusters in the cloud for big-data workloads and applications in a simple, reliable, automated fashion.

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Deploy Cloudera EDH Clusters Like a Boss Revamped – Part 2

Categories: CDH Hadoop HDFS

In Part 1: Infrastructure Considerations in this three part revamped series on deploying clusters like a boss, we provided a general explanation for how nodes are classified, disk layout configurations and network topologies to think about when deploying your clusters.

In this Part 2: Service and Role Layouts segment of the series, we take a step higher up the stack looking at the various services and roles that make up your Cloudera Enterprise deployment.  

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Deploy Cloudera EDH Clusters Like a Boss Revamped – Part 1

Categories: CDH Hadoop HDFS

We at Cloudera believe that all companies should have the power to leverage data for financial gain, to lower operational costs, and to avoid risk. We enable this by providing an enterprise grade platform that allows customers to easily manage, store, process, and analyze all of your data, regardless of volume and variety.

Cloudera’s Enterprise Data Hub (EDH), a modern machine learning and analytics platform that is optimized for the cloud,

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A Look at ADLS Performance – Throughput and Scalability

Categories: CDH Cloud Hadoop HDFS Performance

Overview

Azure Data Lake Store (ADLS) is a highly scalable cloud-based data store that is designed  for collecting, storing and analyzing large amounts of data, and is ideal for enterprise-grade applications.  Data can originate from almost any source, such as Internet applications and mobile devices; it is stored securely and durably, while being highly available in any geographic region.  ADLS is performance-tuned for big data analytics and can be easily accessed from many components of the Apache Hadoop ecosystem,

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