Category Archives: Cloud

A Technical Overview of Cloudera Altus Analytic DB

Categories: Altus Analytic Database Cloud

A few weeks back, we announced the upcoming beta of Cloudera Altus Analytic DB for cloud-based data warehousing. As promised, the beta is now available and we wanted to spend some time describing the unique architecture.

Architecture of Cloudera Altus Analytic DB

Altus Analytic DB is built on the Cloudera Altus platform-as-a-service foundation, which also supports the Altus Data Engineering service. The architecture of Cloudera Altus is based around a few simple but important premises —

Read more

Apache Spot (incubating) and Cloudera on AWS in 60 Minutes

Categories: CDH Cloud Cloudera Director

For the Apache Spot novice or for quick evaluation of a Cybersecurity solution on Cloudera Enterprise Data Hub (EDH) without the arduous tasks of manual installation, we’ve created a rapid deployment of Apache Spot on Amazon Web Services (AWS) using Cloudera Director.

You will immediately see how you can isolate and identify suspicious activities from the Apache Spot UI using the sample data provided in the deployment at cloud scale.

Read more

What’s New in Cloudera Director 2.6

Categories: CDH Cloud Cloudera Director

Cloudera Director 2.6 introduces support for protecting communications with TLS and SSH host keys. Azure support is enhanced with support for Azure Managed Disks and custom images..

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.

Read more

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,

Read more