Search results for:
No result found! Try with different keywords!
Users
Organizers
Events
Advertisement
Oh Snap, this is a past event! 😵

Do you want to get notified when this event happens again?

Big Data and Hadoop Administrator Classroom Training in Asheville, NC

Advertisement

Big Data and Hadoop Administrator Classroom Training in Asheville, NC


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




You may also like the following events from Trainerkart:

Map Business Centre, Asheville, NC, Asheville, United States
Loading venue map..
Event details from Report a problem

Are you going to this event?

Advertisement