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CDH (Cloudera Hadoop Admin) training:course-1 : HandsOn : Create 4 Node Cluster and Much More
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Syllabus of CDH Admin Course-1 Training : In total approx 30 Sessions will be created. Some of the sessions are in prgress and soon they will be available.
1.
BigData
Inroduction
2. Hadoop Introduction
3. HDFS Introduction
4. MapReduce Introduction
Module 2 : Deep Dive in HDFS : Available (Length 48 Minutes)
1.
HDFS
Design
2. Fundamental of HDFS (Blocks, NameNode, DataNode, Secondary
Name Node)
3. Rack Awareness
4. Read/Write from HDFS
5. HDFS Federation and High Availability (Hadoop 2.x.x)
6. Parallel Copying using DistCp
7. HDFS Command Line Interface
Module
4
: Cloudera QuickStart VM Step By Step Installation (Length 19
Mins) Available + Steps in Doc + Hands On Lab
1.
It
Includes Hadoop 2.0
2.
YARN
3.
Hive
4.
Pig
5.
Hue
6.
Apache
Spark
7.
Workflow
Module 5 : Load data in HDFS using the HDFS commands (Length 35 Mins) Available + Steps in Doc + Hands On Lab
Module 7 : Installing VMWare Workstation (Length 9 Mins) Available + Steps in Doc + Hands On Lab
Module 8 : Preparing Linux Instance for Hadoop Node(DataNode or NameNode) (Length 19 Mins) Available + Steps in Doc + Hands On Lab
Module
9
: Network Configuration on Linux Image (Length
19 Mins) Available + Steps in Doc + Hands On Lab
1.
Assign
IP address to Node
2.
Assign
HostName
Module 10 : Setup Cygwin on Windows (Length 27 Mins) Available + Steps in Doc + Hands On Lab
Module
11
: Create and Setup Linux Instance for MultiNode cluster (Length 16 Mins) Available + Steps in Doc +
Hands On Lab
1.
Disable
SELinux
2.
Disable
Firewalls
Module 12 : Create 4 Nodes for the Cluster (Length 24 Mins) Available + Steps in Doc + Hands On Lab
Module
13
: Setup Local Repository for Cloudera Manager (Length
17 Mins) Available + Steps in Doc + Hands On Lab
1.
Create
Apache Web Server Instance.
2. Create repo web directory on given node
3. Download Cloudera Manager-5 software
4. Setting up the .repo file
Module
14
: Install Cloudera Manager from Local Repository (Length
12 Mins) Available + Steps in Doc +
Hands On Lab
1. Download Latest Cloudera Manager installer
2. Install Cloudera Manager-5 from local repository
3. Verify the installation of CM-5 and provide web UI URL
Module
15
: Setup Cloudera Parcels in Local Repository (Length
8 Mins) Available + Steps in Doc +
Hands On Lab
1. Setup Parcels for CDH5 in local repository
2. Setup Impala Parcels in local repository
3. Setup Solr Search Parcels in local repository
4. Similarly setup kuddu, Accumulo and Kafka parcels
Module
16
: Install Cloudera Manager Agent on each node (Length
29 Mins) Available + Steps in Doc +
Hands On Lab
1.
Install
Java/JDK on each node
2. Install Cloudera Agent on each node.
Module 17 : Add Cloudera Management Service (Length 11 Mins) Available + Steps in Doc + Hands On Lab
Module
18
: Setup 4 Node CDH cluster (Length
21 Mins) Available + Steps in Doc +
Hands On Lab
1. Only cluster should be created with HDFS installed. No other
service, should be installed.
2. It should use parcels to setup cluster, which we have setup
as a local repository.
3. Don’t activate HHTPFs roles
4. Role assignment should be as below
Module
19
: Cloudera Manager Introduction (Length
21 Mins) Available + Steps in Doc + Hands
On Lab
1. Feature of Cloudera Manager
2. Terminology in Cloudera Manager
Module 20 : Introduction to Apache Zookeeper (Length 21 Mins) Available + Steps in Doc + Hands On Lab
Module 21A : Install Zookeeper Service on Cluster (Length 8 Mins) Available + Steps in Doc + Hands On Lab
Module 21B : Enable NameNode High Availability (Length 13 Mins) Available + Steps in Doc + Hands On Lab
Module 21C : Test NameNode High Avaialability (Length 4 Mins) Available + Steps in Doc + Hands On Lab
Module
22
: Setup User Space for root user (Length 16 Mins) Available + Steps in Doc + Hands On Lab
1. Creare new Linux user named "Admin"
2. Setup HDFS user space for "Admin" user
Module 23A : Understand HDFS Snapshot Concepts (Length 15 Mins) Available + Steps in Doc + Hands On Lab
Module
23B
: Recover the deleted Directory using HDFS snapshot (Length 15.2 Mins)
Available + Steps in Doc + Hands On Lab
Module 24A : Understand HDFS ACLs concept (Length 21 Mins) Available + Steps in Doc + Hands On Lab
Module 24B : Assigning HDFS ACLs concept (Length 5 Mins) Available + Steps in Doc + Hands On Lab
- Owner should have read and write permissions
- All member of admingroup allow data modifications
- he_dev1 (Only one member from devgroup allow data read)
- he_test1 and he_exec1 (Means execgroup and testgroup is not allowed data read)
Module
24C
: Directory level HDFS ACLs concept (Length 8 Mins) Available + Steps in Doc + Hands On Lab
- Create a directory he_monthly_data, using he_admin1
- Now create two directory JAN16 and FEB16 directory, and these does not have any permission for executives.
- All the members of executive group should automatically get access to new subdirectories as they are created each month e.g. MAR16, MAR17 etc.
Module 26 : NameNode Memory Consideration (Length x Mins) InProgress + Steps in Doc + Hands On Lab
Module 27 : WebUI for HDFS (Length x Mins) InProgress + Steps in Doc + Hands On Lab
Module 28 : Using the Hadoop FileShell (Length x Mins) InProgress + Steps in Doc + Hands On Lab
Module 29 : The Role of Computational Framework (Length x Mins) InProgress + Steps in Doc + Hands On Lab
Module 30 : Install YARN on 4 Node Cluster (Length 8 Mins) Available + Steps in Doc + Hands On Lab
Module 31 : Running YARN application (Length x Mins) (Length x Mins) InProgress + Steps in Doc + Hands On Lab
Module
32
: Apache Spark : Introduction to Apache Spark (Length 48 Mins)
Available 100 Time Faster Data Processing
1.
Introduction
to Apache Spark
2.
Features
of Apache Spark
3.
Apache
Spark Stack
4.
Introduction
to RDD's
5.
RDD's
Transformation
6.
What
is Good and Bad In MapReduce
7.
Why
to use Apache Spark
Another good annual package, which is subscribed by user who are interested in more technology learning including Spark, Hadoop, Cassandra, Sacala and much more with below annual subscription, which include any two certification preparation material.
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- I am interested for on Training module of Pig and Hive. While checking found that "Hadoop Professional Training" covers pig and hive modules but not found separately. Can I get pig and Hive module access only ? or I need to go for complete "Hadoop Professional Training" ?
- In addition to that, I need inputs from you. I need to go for Cloudera certificate but while checking found CCD410 "Hadoop Developer" is obsolete so if I go for "MapR Hadoop Developer Certification", what is market value? is it good to go for this exam? then interested for "MapR Hadoop Developer Certification" Simulator also
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