Big Data Hadoop Admin Training and Certification Course In Pune

Hadoop Admin
Duration of course: hrs

Best Blended Syllabus for Big Data Hadoop Admin Training in Pune by a 100% Placement-Oriented Training Institute

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Projects

Assignments with 2 major real time projects

Classroom

Instructor-led Live Interactive Sessions

Duration

hrs of live interactive sessions

Study Material

Classroom Recordings , Notes(PDF) , Assignments , Projects , Interview FAQ's

Instructor-led Big Data Hadoop Admin Live Online Interactive Training

Date Upcoming Batch Schedule
(Weekdays/Weekends)		 Batch Timings Mode of Learning
26th Jun
Saturday-Sunday
26th Jun
Online/Classroom
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Big Data Hadoop Admin Training Course​

Best Blended Syllabus for Big Data Hadoop Admin Training in Pune by a 100% Placement-Oriented Training Institute

  • Introduction to big data
  • Common big data domain scenarios
  • Limitations of traditional solutions
  • What is Hadoop?
  • Hadoop 1.0 ecosystem and it's Core Components
  • Hadoop 2. x ecosystem and it's Core Components
  • Application submission in YARN

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  • Distributed File System
  • Hadoop Cluster Architecture
  • Replication rules
  • Hadoop Cluster Modes
  • Rack awareness theory
  • Hadoop cluster administrator responsibilities
  • Understand the working of HDFS
  • NTP server
  • Initial configuration required before installing Hadoop
  • Deploying Hadoop in a pseudo-distributed mode

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  • OS Tuning for Hadoop Performance
  • Pre-requisite for installing Hadoop
  • Hadoop Configuration Files
  • Stale Configuration
  • RPC and HTTP Server Properties
  • Properties of Namenode, Datanode, and Secondary Namenode
  • Log Files in Hadoop
  • Deploying a multi-node Hadoop cluster

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  • Commissioning and Decommissioning of Node
  • HDFS Balancer
  • Namenode Federation in Hadoop
  • High Availability in Hadoop
  • .Trash Functionality
  • Checkpointing in Hadoop
  • Distcp
  • Disk balancer

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  • Different Processing Frameworks
  • Different phases in Mapreduce
  • Spark and its Features
  • Application Workflow in YARN
  • YARN Metrics
  • YARN Capacity Scheduler and Fair Scheduler
  • Service Level Authorization (SLA)

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  • Planning a Hadoop 2. x cluster
  • Cluster sizing
  • Hardware, Network and Software considerations
  • Popular Hadoop distributions
  • Workload and usage patterns
  • Industry recommendations

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  • Monitoring Hadoop Clusters
  • Hadoop Security System Concepts
  • Securing a Hadoop Cluster With Kerberos
  • Common Misconfigurations
  • Overview on Kerberos
  • Checking log files to understand Hadoop clusters for troubleshooting

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  • Visualize Cloudera Manager
  • Features of Cloudera Manager
  • Build Cloudera Hadoop cluster using CDH
  • Installation choices in Cloudera
  • Cloudera Manager Vocabulary
  • Cloudera terminologies
  • Different tabs in Cloudera Manager
  • What is HUE?
  • Hue Architecture
  • Hue Interface
  • Hue Features

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  • Explain Hive
  • Hive Setup
  • Hive Configuration
  • Working with Hive
  • Setting Hive in local and remote metastore mode
  • Pig setup
  • Working with Pig

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  • What is NoSQL Database
  • HBase data model
  • HBase Architecture
  • MemStore, WAL, BlockCache
  • HBase Hfile
  • Compactions
  • HBase Read and Write
  • HBase balancer and hbck
  • HBase setup
  • Working with HBase
  • Installing Zookeeper

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  • Oozie overview
  • Oozie Features
  • Oozie workflow, coordinator, and bundle
  • Start, End, and Error Node
  • Action Node
  • Join and Fork
  • Decision Node
  • Oozie CLI
  • Install Oozie

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  • Types of Data Ingestion
  • HDFS data loading commands
  • Purpose and features of Sqoop
  • Perform operations like Sqoop Import, Export, and Hive Import
  • Sqoop 2
  • Install Sqoop
  • Import data from RDBMS into HDFS
  • Flume features and architecture
  • Types of flow
  • Install Flume
  • Ingest Data From External Sources With Flume
  • Best Practices for Importing Data

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Big Data Hadoop Admin Training Completion Certificate

To Obtain The Big Data Hadoop Admin Course Completion Certification,You Have To Fulfill The Following Criteria

  • Complete the Big Data Hadoop Admin Course Online/Classroom Training
  • You can attend multiple batches of the same trainer & complete the Big Data Hadoop Admin Course Training
  • Completion of all exercises, assignments & capstone project.
150+

Batches Completed

Industry Oriented Syllabus

Designed By Expert

2000+

Happy Students

Self Assessments

Quizzes, POC

8+

8+ Years Of Experience

Recorded Sessions

1 Year Of Access

Big Data Hadoop Admin Training Completion Certificate

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Course Benefits​

  • No prerequisite

  • Course designed for non-IT as well as IT professionals

  • Flexible batch switch is available

  • Placement assistance in MNC

  • Classroom & Online Training – Can switch from online training to classroom training with nominal fee

  • Working professional as instructor

  • Proof of concept (POC) to demonstrate or self-evaluate the concept or theory taught by the instructor

  • 100% placement calls guaranteed till you get placed

  • Interview Preparation Support

  • Resume Building & Mock Interview

  • Evaluation after each Topic completion

  • Hands-on Experience with Real-Time Projects

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About Course

  • Batches Completed – 
  • Students - 
  • Course Duration: hrs
  • Assignments with 2 Real time Projects
  • Assignment Duration:  hrs
  • Modules: 12

Training Projects​

FAQ

Yes, you can attend demo session before you enroll either we can provide you the recorded lecture so that you can watch it as per your schedule or you can attend live demo lecture either online or offline

 

Yes, we do provide the placement assistance in which how we work on real time projects will be taught,resume preparation and Job openings will also be provided.More than 80% of candidates have changed their profile by getting either promotion or getting new job offers on good package.

Checkout our Telegram Channel for Placement Assistance (Open in Mobile Browser): https://t.me/technogeekssolutions

 

If you miss classes, you can get recording sessions of the lectures.

As business world going on cloud and need for the constant update of software and hardware, recruiters are looking for developers who have experience with the Amazon Web Services (AWS) cloud platform. Engineers with DevOps experience are also in high demand.

You can check out our DevOps with AWS

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