Big Data Hadoop Administration Certification Course

4.6

110+ Learners

For many businesses, big data analysis is becoming a crucial edge in business intelligence. Our Big Data and Hadoop Administrator training course will take you deep into the ideas of Big Data and will prepare you for Hadoop administration responsibilities.

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$300
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    • Learn from industry experts who are passionate about teaching.
    • Instructor-led live sessions
    • Industry- Specific Curriculum
    • Recorded sessions for every class
    • Flexible schedules for working professionals
    • Real-life Case Studies
    • Dedicated Student Success Manager
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Main Features

40 Hrs Instructor Training

Certification Assistance Program

Flexible Schedule Training

Weekday/Weekend Batch

Lifetime Access for videos

Designed for Students and Professionals

Benefits of Big data Hadoop Administration Certification Course

  • This course is for anyone interested in learning of Big data Hadoop course and fast becoming acquainted with this popular technology and its significance
  • This course will introduce you to Big data Hadoop applications and real-world use cases in a variety of industries, including e-commerce, banking, healthcare, automation, and others.
  • Big data Hadoop curriculum is developed to match the needs of today industry.
  • Hands-on Experience in Live Projects
  • Unlimited Mock Interview and Quiz Session
  • Will also gain a thorough understanding of best practices used to implement Projects
Self learning
Title Price Enroll
Big data Hadoop Administration Certification Course $300
Abilities Covered
Development Applications
Design Skills
Application Platforms
Programming And Scripting
File Handling Concepts

Content

  • An overview of large data
  • Scenarios in which big data is used
  • Traditional solutions have limitations.
  • What exactly is Hadoop?
  • The Core Components of the Hadoop 1.0 Ecosystem
  • The Core Components of the Hadoop 2.x Ecosystem
  • YARN application submission
  • The DFS stands for Distributed File System.
  • Cluster Architecture for Hadoop
  • Hadoop Cluster Modes are ruled by replication.
  • Theory of rack awareness
  • Responsibilities of the Hadoop cluster administrator
  • Understand how the HDFS NTP server works.
  • Before installing Hadoop, you will need to complete some preliminary setup.
  • Hadoop deployment in a pseudo-distributed mode
  • Hadoop Performance Tuning on the Operating System
  • Hadoop installation requires a prerequisite.
  • Hadoop Configuration Files
  • Stale Configuration
  • Server Properties for RPC and HTTP
  • Namenode, Datanode, and Secondary Namenode Properties
  • Hadoop Log Files
  • Creating a Hadoop cluster with several nodes
  • Node commissioning and decommissioning
  • Balancer for HDFS
  • Hadoops Namenode Federation
  • Hadoop has a high availability rate.
  • Functionality of Trash
  • Hadoop checkpointing
  • Distcp
  • Balancer for hard disk
  • Various Frameworks for Processing
  • Mapreduce contains several steps.
  • The Characteristics of Spark
  • YARN Application Workflow
  • Metrics from YARN
  • Fair Scheduler and YARN Capacity Scheduler
  • Authorization at the Service Level (SLA)
  • Putting together a Hadoop 2.x cluster
  • Sizing of clusters
  • Considerations in Hardware, Networking, and Software
  • Hadoop packages that are widely used
  • Patterns of work and usage
  • Advice from the industry
  • Get a complete course outline.
  • Hadoop Clusters are being monitored.
  • Concepts of Hadoop Security Systems
  • Kerberos for Hadoop Cluster Security
  • Misconfigurations That Are Common
  • Kerberos: A Quick Overview
  • For troubleshooting, examine log files to gain a better understanding of Hadoop clusters.
  • Explanation of Hive
  • Setup of the Hive
  • Configuration of the Hive
  • Using Hive as a Resource
  • Configuring Hive for local and distant metastores
  • Setup for the pig
  • Collaborating with pig
  • Find out more about the course.
  • What exactly is a NoSQL database?
  • Data model for HBase
  • Architecture of HBase
  • WAL, BlockCache, MemStore
  • Hfile in HBase
  • Compactions
  • Read and Write in HBase
  • Hbck and the HBase balancer
  • Setup of HBase
  • Using the HBase database
  • Putting Zookeeper in Place
  • Overview of Oozie
  • Features of the Oozie
  • Workflow, coordinator, and package for Oozie
  • Beginning, Ending, and Error Node
  • Node of Action
  • Joining and Forking
  • Node of Decision
  • CLI Oozie
  • Oozie should be installed.
  • Data Ingestion Types
  • Commands for loading data from HDFS
  • Sqoops purpose and characteristics
  • Sqoop Import, Export, and Hive Import are examples of operations.
  • Sqoop 2 is the sequel to Sqoop.
  • Sqoop should be installed.
  • Import data from a relational database management system (RDBMS) into HDFS.
  • Features and architecture of the flume
  • Various types of flow
  • Install Flume
  • Flume is a tool for ingesting data from external sources.
  • Importing Data Best Practices
    • 40
    Hrs of Extensive Training
    8
    Modules/Tools
    Free Career Guidance
    Big Data Hadoop job demand increased to 60% from previous years
    Big Data Hadoop certified Engineers are preferred by Global Tech firms
    Big Data Hadoop Job prediction will increase by 40% by the end of 2025
    40% of job postings ask for skills in Big Data Hadoop
    Average salary of AWS Enterprise Cloud Architect $118,051
    Certification
    Frequently Asked Questions
    Your access to the Support Team is unlimited and available 24 hours a day, 7 days a week. During and after the course, the staff will assist you in resolving any questions you may have.
    At Zenith Learning, all of the instructors are industry professionals with at least 10-12 years of relevant IT experience. They are subject matter experts who have been trained by Zenith Learning to provide participants with an excellent learning experience.
    Organizations are relying on data in today data-driven world. They analyze and derive useful insights from large amounts of data (Big Data). Companies will want specialists that can design, build, test, and maintain the entire Big Data infrastructure as the Big Data market is expected to increase from $42 billion in 2018 to $103 billion in 2027. Hadoop is the de-facto standard for storing and processing Big Data, and it is the first step on the road to Big Data glory. So, if you want to work in the Big Data field, now is the time to enroll in Hadoop Administration Certification Training.
    Zenith Learnings Hadoop Administration Certification Training is built by subject matter experts and includes all you need to know about planning Hadoop clusters, installing Hadoop, configuring Hadoop clusters, monitoring Hadoop clusters, and tweaking Hadoop performance. With the use of hands-on and real-world case studies, you will grasp every facet of the technology.
  • You have the freedom to learn at your own pace with online certification training. Some of the major benefits:
  • Access to the most recent course materials
  • Make contact with instructors from all over the world.
  • Connect with students from all over the world.
  • Case studies and real-world projects
  • Access for life and assistance 24 hours a day, 7 days a week
    • Zenith Learning Hadoop Administration Certification Training is suitable for both beginners and experienced. Zenith Learning offers instructor-led training, in which the instructor will fully explain each idea using case studies. Our support ninjas will also be available 24 hours a day, 7 days a week to assist you.
    Big Data projects are being seized by businesses in order to obtain a competitive advantage. In a decade, businesses who do not embrace Big Data will lose their competitive advantage. As the number of Big Data sources grows, so do the prospects for experts. Professionals that can develop, administer, and conduct administrative activities on Big Data clusters are in high demand. If you want to work in the Big Data field, now is the time to earn your Hadoop Administration certification.
    A professional with Hadoop Administration skills can earn somewhere between $86K and $145K per year. A software engineer with Hadoop admin abilities earns an average of $117,916, while a senior software engineer and solution architect earn $104,178 and $136,628 respectively.

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