Key Features 32 hours of Classroom training 100% Money Back Guarantee*
20 hours of self-paced video Includes 4 real industry-based projects
Prepares for Cloudera CCAH ‘CCA-500’ certification exam Includes 3
simulation exams aligned to ‘CCA-500’ certification exam About
the Course Educera's Big Data Hadoop Administrator Training provides
an in-depth understanding of Hadoop framework, HDFS, and Hadoop
cluster including Sqoop, Flume, Pig, Hive, and Impala. You will learn
about cluster management solutions, core Hadoop distribution, and
Cloudera Manager. Who needs to attend? Big Data Hadoop Administrator
Training is best suited for: Systems administrators and IT managers IT
administrators and operators IT Systems Engineer Data Engineer and
database administrators Data Analytics Administrator Cloud Systems
Administrator Web Engineer What learning outcomes can be expected?
After completing this Big Data Hadoop Administrator Training, you will
be able to: Understand the fundamentals of Big Data and its
characteristics, various scalability options to help organizations
manage Big Data. Master the concepts of the Hadoop framework; its
architecture, working of Hadoop distributed file system and deployment
of Hadoop cluster using core or vendor-specific distributions. Learn
about cluster management solutions such as Cloudera manager and its
capabilities for setup, deploying, maintenance & monitoring of Hadoop
Clusters. Learn Hadoop Administration activities Learn about
computational frameworks for processing Big Data Learn about Hadoop
clients, nodes for clients and web interfaces like HUE to work with
Hadoop Cluster Learn about Cluster planning and tools for data
ingestion into Hadoop clusters Learn about Hadoop components within
Hadoop ecosystem like Hive, HBase, Spark, and Kafka Understand
security implementation to secure data and clusters. Learn about
Hadoop cluster monitoring activities Big Data Hadoop Administrator
Training – Course Agenda Lesson 1: Big Data & Hadoop Introduction
Big Data Hadoop Administrator Training course you will learn about Big
Data characteristics need for a framework such as Hadoop & its
ecosystem. You will also be introduced to important daemons that
support functioning of a Hadoop cluster. Topics covered are: Data &
Existing Solutions Welcome to the world of Big Data—What, Why &
Where Case studies Hadoop & its Ecosystem Hadoop Core components
Hadoop & its capabilities Lesson 2: HDFS – Hadoop Distributed File
System & Hadoop’s Distributions In this lesson, you will learn about
Hadoop Distributed file System, its architecture, working & internals,
Hadoop different distributions and about their similarities &
differences. Topics covered are: Gain knowledge on HDFS its internals,
working & features Learn about possibilities without HDFS
Differentiate or find similarities in different distributions of
Hadoop. Identify the requirements to set up a Hadoop cluster Lesson 3:
Hadoop Cluster Setup & Working with Hadoop Cluster In this lesson, you
will learn about steps to setup Apache Hadoop (core distribution)
& Cloudera Distribution of Hadoop (vendor specific), cluster
management solutions and their benefits and nut & bolts of Cloudera
Distribution of Hadoop. You will also learn how to verify your
cluster. Topics covered are: The need for Cluster Management Solution
Choice of Installation methods—Automated/ Manual Linux machines
setup—Virtualization & Cloud Hadoop Cluster Setup—Apache Hadoop V2
& Cloudera Distribution of Hadoop (CDH) Cloudera manager features and
capabilities Working with Hadoop cluster, HDFS & data Working with
management console/ UI ( user interfaces) & Linux terminals Understand
administration scenarios Lesson 4: Hadoop Configurations & Daemon Logs
In this lesson, you will learn about configuration files, ports &
properties that relate to the functioning of Hadoop cluster. You will
also learn about Hadoop daemons logs and how they help in problem
scenarios for diagnosing & gathering information. Topics covered are:
List and describe the files that control Hadoop configuration Explain
how to manage Hadoop configuration with Cloudera Manager Locate
configuration files and make changes Explain how to deal with stale
configurations Explain the properties of addresses and ports of RPC
and HTTP servers run by Hadoop Daemons Locate log files generated on
hosts Filter information in log files Explain how to get diagnostic
information from log files Lesson 5: Hadoop Cluster Maintenance &
Administration In this lesson, you will learn Hadoop cluster
maintenance and administration activities. You will also learn the
shortcomings of Hadoop v1 and how they are fulfilled by Hadoop v2
features. Topics covered are: Explain how to add and remove nodes in
an ad-hoc way Explain how to add and remove nodes in a systematic way,
otherwise known as commissioning and decommissioning of nodes Explain
how to balance a cluster List the steps for managing services
including adding, deleting, starting, stopping and checking the status
of services Explain the procedure to enable rack awareness List the
steps to add, remove and move role instances and hosts Cite the
challenges faced with the first version of Hadoop Explain the features
in the second version that help overcome the challenges faced in the
first version Lesson 6: Hadoop Computational Frameworks In this
lesson, you will learn about different types of computational
frameworks, MapReduce & YARN concepts & configurations and how YARN
manages applications. Topics covered are: Describe the role of
computational frameworks Explain MapReduce concepts Describe MRv2 on
YARN Explain configuring and understanding of YARN Describe YARN
applications Describe YARN memory and CPU settings Lesson 7:
Scheduling—Managing resources via Schedulers In this lesson, you
will learn cluster scheduling concepts, managing resources in your
YARN cluster by usage of schedulers & queue management to manage
jobs/applications. Topics covered are: Describe the scheduling
concepts Indentify the Schedulers Explain the ways to manage resources
using Schedulers Describe FIFO, Fair Scheduler, and Capacity Scheduler
Explain how to configure Schedulers Explain queue management Lesson 8:
Hadoop Cluster Planning In this lesson you will learn about how to
plan your Hadoop cluster, considerations for cluster sizing & workload
patterns in Hadoop cluster, making choices pertaining to variables
such as hardware, software & different cluster deployment options.
Topics covered are: Planning Hadoop Cluster General Planning
considerations Workload and cluster sizing Making Choices—Hardware,
Software & Network Making Choices—Master/Slave considerations News
from the world—Existing Setups Lesson 9: Hadoop Clients & HUE
interface In this lesson you will learn about Hadoop clients, nodes
that support Hadoop clients and web interface such as HUE which can be
used to work with Hadoop cluster and its components. Topics covered
are: Explain the concepts of Hadoop client, edge nodes, and gateway
nodes Install and configure Hadoop clients Explain how Hue works
Install and configure Hue Describe how authentication and
authorization is managed in Hue Lesson 10: Data Ingestion in Hadoop
Cluster In this lesson you will learn about data ingestion types &
tools. You will learn more about tools such as Flume, Sqoop that can
be used for data import/export. Topics covered are: Understand Data
Ingestion & its types Knowing about various data ingestion tools &
their capabilities Understanding how Flume works Understanding how
sqoop works In this lesson you will learn about open-source components
(also known as services in CDH) that work within Hadoop ecosystem such
as Hive, Hbase, kafka & Spark. Topics covered are: List some of the
services and open-source components that work within the Hadoop
ecosystem List the advantages and key features of Hive Describe
briefly about the components of Hive Explain how to configure Hive in
different modes Explain the architecture of HBase and cite the
advantages of using HBase Explain the working of Apache Kafka Describe
the architecture of Apache Spark Lesson 12: Hadoop Security—Securing
Hadoop Cluster In this lesson you will learn about security aspects
and security implementation in a Hadoop cluster to secure data &
cluster. Topics covered are: Describe the different ways to avoid
risks and secure data Identify the different threat categories
Describe the security aspects for different nodes Describe operating
system security Describe Kerberos and how it works Describe Service
Level Authorization In this lesson you will learn about basics of
cluster monitoring, choosing right monitoring solutions, Hadoop
metrics categories & types and Cloudera manager’s features and
capabilities that can be used for monitoring your Hadoop cluster.
Topics covered are: Describe cluster monitoring Describe the ways to
choose the right monitoring solutions List the features and
considerations of Cloudera manager for monitoring Describe the
different categories of Hadoop Metrics List the different types of
Hadoop Metrics List the steps to monitor a cluster by using Cloudera
Manager Why Educera? Educera’s training is the best and value for
time & money invested. We stand out because our customers: Get trained
at the best price compared to other training providers. Get trained by
the best trainer in the industry. Get access to course specific
learning videos. Get 100% Money back guarantee. Training Fee: Early
Bird: Booking at least one month prior to the class start date
Training Venue: Venue will be confirmed to the classroom participants
one week prior to the workshop start date and online participants will
get the session attendance link before 4- 5 days of the training start
date. Training Courses: CAPM | PMP | LSSGB | ITIL | CSM | CEH |
PMI-ACP | CCBA | CBAP | CEH Please contact us for more details
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29/01/2020 Last update