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.
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,
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.
As many of us know, data in HDFS is stored in DataNodes, and HDFS can tolerate DataNode failures by replicating the same data to multiple DataNodes. But exactly what happens if some DataNodes’ disks are failing? This blog post explains how some of the background work is done on the DataNodes to help HDFS to manage its data across multiple DataNodes for fault tolerance. Particularly, we will explain block scanner, volume scanner,
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.