Download Practical Guide to setup Hadoop and Spark Cluster using CDH

What you would learn in Practical Guide to setup Hadoop and Spark Cluster using CDH course?

Cloudera is a top distributor for distributions that are related to Hadoop as well as Spark. In this practical Guide, you will be able to understand how to follow the steps of installing Hadoop and Spark Cluster using CDH.

Install - Show knowledge of the installation process in Cloudera Manager, CDH, and the ecosystem project.

• Create a local CDH repository

• Configure OS-level to enable Hadoop installation

• Install the Cloudera Manager server and agents. Cloudera Manager server and agents

• Install CDH by using Cloudera Manager

• Create a new node in an existing cluster

• Create a service by using Cloudera Manager

Configure: Perform the basic and advanced configurations needed to manage the operation of a Hadoop cluster effectively

• Configure a service with Cloudera Manager

• Set up an HDFS user's home directory.

• Configure NameNode Configure NameNode

• Configure ResourceManager HA

• Configure a proxy for Hiveserver2/Impala

Manage - Maintain and alter the cluster to help support day-to-day activities in the enterprise

• Rebalance the cluster

• Set up alerts for an excessive disk space

• Create and install the rack topology script

• Install a new kind of I/O compression library within the cluster

• Revision of YARN resource allocation based on feedback from users

• Commission/decommission a node

Secure - Turn on relevant services and configure the cluster to achieve the goals set by security policies as well as demonstrate knowledge of fundamental security procedures

• Configure HDFS ACLs

• Set up and configure Sentry

• Configure Hue's user authorization and authentication and Hue's authentication

• Log and query redaction is enabled/configured.

• Create encrypted zones in HDFS

Test The cluster's operational parameters Test system configurations for performance and effectiveness

• Use HTTPFS to execute file system commands. HTTPFS

• It is efficient to transfer data between clusters or within groups

• Create or restore a snapshot within an HDFS directory

• Create/set ACLs to a directory structure or file

• Check the cluster's performance (I/O and CPU)

Troubleshoot - Show ability to determine the root of the issue, improve execution efficiency, and address the issue of resource contention.

• Resolve errors/warnings in Cloudera Manager

• Solve performance issues or errors in cluster operation

• Find out the reason why an application is not working.

• Set up your Fair Scheduler to fix delays in applications

Our Method

• Start by creating a Cloudera QuickStart VM (if you have a laptop with 16GB of RAM and quad Core). This will help you learn to use Cloudera Manager.

• You'll be able to join GCP and get a credit of up to $300 while it lasts. Credits are valid for one year.

• Then, you will be able to understand a brief introduction to GCP and how to set up Seven to Eight Virtual Machines with templates. You can also connect an external hard drive to set up HDFS later.

• After servers have been provisioned, you can go ahead and install Ansible to manage Server Automation.

• You will manage your local repository to Cloudera Manager and Cloudera Distribution of Hadoop with the help of Packages.

• Then, you will set up Cloudera Manager with a custom database and, finally, Cloudera Distribution of Hadoop using Wizard, a component of Cloudera Manager.

• In setting up the Cloudera Distribution of Hadoop, you will configure HDFS and know HDFS commands, set up YARN, and Configure HDFS and YARN High Availability. Learn about schedulers, Setup Spark, Transition to Parcels, Setup Hive and Impala, Setup HBase and Kafka, and more.

Course Content:

• Learn about Hadoop and Spark Administration using CDH
• Provide Cluster via GCP (Google Cloud Platform) to configure Hadoop in addition to Spark Cluster with CDH
• Setup Ansible is a server automation tool that allows you to set up the prerequisites for setting up Hadoop and Spark Cluster using CDH.
• Create a cluster of 8 nodes by hand using CDH
• Know how HDFS works. HDFS, YARN, Spark, Hive, Hue, and many more.

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