Tag Archives: cloud

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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Informatica Big Data Management on Cloudera Altus

Categories: CDH Cloud

Today, we’re really excited to announce the latest innovation from Cloudera and Informatica’s partnership. Companies are increasingly moving their data operations into the cloud. With both companies focusing on helping customers derive business insights out of vast amounts of data, our new joint offering will dramatically simplify leveraging cloud-native infrastructures for big data analytics.

Last May, Cloudera announced Cloudera Altus, a new platform-as-a-service (PaaS) offering in the cloud for big data analytics,

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Cloudera SDX: Under the Hood

Categories: CDH

What is SDX?

Shared Data Experience — SDX — is Cloudera’s secret ingredient that makes it possible to deploy Cloudera’s four core functions (Data Engineering, Data Science, Analytic DB, Operational DB) on a single platform.

Why does that matter?

First, each of those core functions is essential to any modern enterprise business.

  • Data Engineering enables the business to run batch or stream processes that speed ETL and train machine learning models
  • Data Science enables the business to do exploratory data science at big data scale with full data security and governance
  • Analytic DB delivers the fastest time-to-insight with the flexibility and agility to run in any environment and against any type of data.

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Customizing Docker Images in Cloudera Data Science Workbench

Categories: Altus CDH Cloud Data Science How-to Tools

This article shows how to build and publish a customized Docker image for usage as an engine in Cloudera Data Science Workbench. Such an image or engine customization gives you the benefit of being able to work with your favorite tool chain inside the web based application.

Motivation:

Cloudera Data Science Workbench (CDSW) enables data scientists to use their favorite tools such as R, Python, or Scala based libraries out of the box in an isolated secure sandbox environment.

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Cloudera Director and Spot Instances: Resilience and Repair

Categories: CDH Cloud Testing

Cloudera Director enables self-service provisioning and management of CDH and Cloudera Enterprise Data Hub in the cloud. Running Cloudera Enterprise on top of public cloud infrastructure allows you to pay only for the resources you need to meet your data processing demands.

Amazon Web Services (AWS) provides the ability to bid on spare Amazon EC2 computing capacity at a discount through Amazon EC2 Spot instances. With Cloudera Director, you can configure clusters to use Spot instances to improve workload execution time and save costs.

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