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 Trainerkart'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 Trainerkart? Trainerkart’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
Physical classroom: $2499 (We are ready to conduct on-site training
for participants 3 & above) Instructor-led online training: $999
Training Venue / Links: 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. Please contact us for more details
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26/02/2020 Last update