Category Archives: How-to

How-to: Deploy a Secure Enterprise Data Hub on Microsoft Azure – Part 2

Categories: CDH Cloud How-to Ops and DevOps Platform Security & Cybersecurity

In Part 1 of the blog, we covered all the prerequisites  needed to deploy a CDH cluster on the Microsoft Azure cloud platform. In Part 2, we will cover the resources required on the Azure platform and actually deploy a cluster with Cloudera Director.

Cloudera Director Use Case

Cloudera Director simplifies cluster creation and lessen the time to an operational cluster on the cloud. It’s a great tool for running POCs in your organization.

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How-to: Fuzzy Name Indexing in Apache Hadoop with Rosette and Cloudera Search

Categories: CDH How-to Search

In this guide, learn how to use Cloudera Search with Basis Technology’s Rosette®  to perform fuzzy name searches in multiple languages and scripts.

Our thanks to Basis Technology team (Jeanne Le Garrec, Hannah MacKenzie-Margulies and Brian Sawyer) for supporting writing this how-to blog.

Cloudera Search, powered by Apache Solr brings full-text, interactive search, and scalable indexing to Apache Hadoop by marrying SolrCloud with HDFS, Apache HBase,

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How-to: Deploy a Secure Enterprise Data Hub on Microsoft Azure – Part 1

Categories: CDH Cloud Hadoop How-to Ops and DevOps Platform Security & Cybersecurity

 

Learn how to use Cloudera Director, Microsoft Active Directory (AD DS, AD CS, AD DNS), SAMBA, and SSSD to deploy a secure EDH cluster for workloads in the public cloud.

Authenticating users in Apache Hadoop is the first line of security we recommend. Like most, if not all RDBMS, a user is provided with a username and a password to validate their identity. This is a requirement to access any data managed by those systems.

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How-to: Automate Your sparklyr Environment with Cloudera Director

Categories: Cloudera Manager Data Science Hadoop How-to Ops and DevOps Spark

Since the launch of sparklyr, working with Apache Spark in Apache Hadoop has become much easier for R users. sparklyr contains a dplyr interface into Spark and allows users to leverage crucial machine learning algorithms from Spark MLlib and H2O Sparkling Water. This greatly reduces the barrier of entry for R users in adopting Spark as a tool for big data and should go a long way in enabling R workloads to migrate to Hadoop.

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How-to: Use the New Apache Oozie Database Migration Tool

Categories: How-to Oozie

Updated 11/22/16 – Important: All features below are working on CDH 5.9.0 and CM 5.9.0 and above. 

This tool makes Oozie migrations off Apache Derby (or any other supported database) easy, in addition to streamlining upgrades.

The Apache Oozie server is a stateless web application by design, with all information about running and completed workflows, coordinator jobs, and bundle jobs stored in a relational database.

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