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Winter Training in Big Data Hadoop and Linux Administration at Grras Institute, Jaipur

  • ₹15,000

Come become an expert in Linux and Bigdata administrationwith the help of Winter training program at Grras Institute.

Product Description

Highlights of the Deal

This training involves

  • deploying Bigdata Hadoop Platform using Distributed Computing and Storage of Big Data Hadoop version 1 and 2 both framework and Cover HDFS, MapReduce, Yarn, Pig, Hive, Hbase, and using  RedHat Linux to deploy it on your system.
  • Understanding Linux System ,Servers and Security Management using Redhat linux OS open source technology , RHEL7 version which covers mainly cryptography,, SSL/TLS handshaking, adv. server security to deploy Production Linux Server etc .

Objective of Training / Course

The current course provides a top-notch batch of Big Data Hadoop and Linux Administration learners.

What will students learn or get?

  • Highly reviewed and updated study material
  • Excellent daily speed test
  • Confidence to crack difficult problems
  • Able to understand the level of Preparation
  • Clear Misconception regarding the exam
  • Area of improvement
  • Fine unit-wise Tests
  • Ensure strong concept building
  • Superior Full length tests in exam pattern
  • Specific strategies to be applied to cracks exams
  • To teach various methods on how to effectively solve problems
  • Time-Bound methods of solving the questions
  • Provide Training Certificate and Internship Letter
  • Interaction with students even after completing the training( Regular updates )
  • One-to-one guidance for their career.
  • State of Art Lab Infrastructure with 24 x 7 Lab Access Facility.
  • Equipped with our Placement unit cell for providing job assistance
  • 6 hands on air conditioned labs
  • Real-time response on students query.
  • 100% practical training approach.
  • Absolutely free Exam preparation for the global certifications in the respective training area.

Program’s outline

Hadoop –

  • Introduction to Hadoop

• The amount of data processing in today’s life
• What Hadoop is why it is important?
• Hadoop comparison with traditional systems
• Hadoop history
• Hadoop main components and architecture

  • Hadoop Distributed File System (HDFS)

• HDFS overview and design
• HDFS architecture
• HDFS file storage
• Component failures and recoveries
• Block placement
• Balancing the Hadoop cluster

  • Planning your Hadoop cluster

• Planning a Hadoop cluster and its capacity
• Hadoop software and hardware configuration
• HDFS Block replication and rack awareness
• Network topology for Hadoop cluster

  • Hadoop Deployment

• Different Hadoop deployment types
• Hadoop distribution options
• Hadoop competitors
• Hadoop installation procedure
• Distributed cluster architecture

  • Working with HDFS

• Ways of accessing data in HDFS
• Common HDFS operations and commands
• Different HDFS commands
• Internals of a file read in HDFS
• Data copying with ‘distcp’

  • Map-Reduce Abstraction

• What MapReduce is and why it is popular
• The Big Picture of the MapReduce
• MapReduce process and terminology
• MapReduce components failures and recoveries
• Working with MapReduce

  • Hadoop Cluster Configuration

• Hadoop configuration overview and important configuration file
• Configuration parameters and values
• HDFS parameters MapReduce parameters
• Hadoop environment setup
• ‘Include’ and ‘Exclude’ configuration files

  • Hadoop Administration and Maintenance

• Namenode/Datanode directory structures and files
• File system image and Edit log
• The Checkpoint Procedure
• Namenode failure and recovery procedure
• Safe Mode
• Metadata and Data backup
• Potential problems and solutions / what to look for
• Adding and removing nodes

  • Hadoop Monitoring and Troubleshooting

• Best practices for monitoring a Hadoop cluster
• Using logs and stack traces for monitoring and troubleshooting
• Using open-source tools to monitor Hadoop cluster

  • Job Scheduling

• How to schedule Hadoop Jobs on the same cluster
• Default Hadoop FIFO Schedule
• Fair Scheduler and its configuration

  • Hadoop Multi-Node Cluster Setup and Running Map Reduce Jobs on Amazon Ec2

• Hadoop Multi-Node Cluster Setup using Amazon ec2 – Creating 4 node cluster setup
• Running Map Reduce Jobs on Cluster.

Linux –

  • Linux Administration
  • Accessing the Command Line
  • Managing Files From the Command Line
  • Getting Help in Red Hat Enterprise Linux
  • Creating, Viewing, and Editing Text Files
  • Managing Local Linux Users and Groups
  • Controlling Access to Files with Linux File System Permissions
  • Monitoring and Managing Linux Processes
  • Controlling Services and Demons
  • Configuring and Securing OpenSSH Service
  • Analyzing and Storing Logs
  • Managing Red Hat Enterprise Linux Networking
  • Archiving and Copying Files Between Systems
  • Installing and Updating Software Packages
  • Accessing Linux File Systems
  • Using Virtualized Systems
  • Comprehensive Review
  • Controlling Lab Services and Daemons
  • Managing IPv6 Networking
  • Configuring Link Aggregation and Bridging
  • Network Port Security
  • Managing DNS for Servers
  • Configuring Email Transmission
  • Providing Remote Block Storage
  • Providing File – Based Storage
  • Configuring MariaDB Database
  • Providing Apache HTTPD Web Service
  • Writing Bash Scripts
  • Bash Conditionals and Control Structures
  • Configuring the Shell Environment
  • Comprehensive Review

Who Should Attend?

No any type of prerequisite is advised for this training . A basic knowledge of java/python and the computer system will be an added advantage.

Benefits to students

  • With the advent of Hadoop, there comes the need for professionals skilled in Hadoop Administration, making it imperative to be skilled as a Hadoop Admin for a better career, salary and job opportunities.
  • Join us for the best Hadoop administration in Jaipur.
  • It enables you to deploy, configure, manage, monitor, and secure a Hadoop Cluster.
  • This course will also include many challenging, practical and focused hands-on exercises.
  • Towards the end of the course, you will be able to understand and solve real industry-relevant problems that you will encounter while working on Hadoop Cluster.
  • Experienced & Certified Trainers
  • REDHAT Authorized partners
  • 100 % Results in RHCSA, RHCE, RHCVA& COE Global Certification Exams
  • Having our own WEBHOSTING CELL
  • Linked through JOB PORTALS for providing job openings and vacancies after training
  • 100 % job Assistance.
  • Students are also benefited with a 10% off on the price of the course when availed through Edufers.

Duration of the training/course?

  • The course is scheduled for 4 months.
  • Duration: Everyday 2 hours
  • We will let you know the timings as per the batch allotted to you. Stay rest assured!

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