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    Cloudera Hadoop Administration Training Course

    Cloudera administrator Professional training course for Apache Hadoop provides a comprehensive understanding of all the steps necessary to operate and maintain a Hadoop c...

    ₹ 22000

    ₹ 25000

    12% off

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    Baroda Institute of Technology
    ₹22000  ₹ 25000  

    12% off

     
    Buy Now
    This includes following
    •  120 Hours
    •  Completion certificate : Yes
    •  Language : Hinglish 
    Cloudera administrator Professional training course for Apache Hadoop provides a comprehensive understanding of all the steps necessary to operate and maintain a Hadoop cluster using Cloudera Manager. From installation and configuration through load balancing and tuning, Cloudera Administrator training course is the best preparation for the real-world challenges faced by Hadoop administrators. This course is best suited to systems administrators and IT managers who have basic Linux experience. Prior knowledge of Apache Hadoop is not required. This course is design to clear CCA exam. Upon completion of the course, attendees are encouraged to continue their study and register for the CCA Administrator exam. Certification is a great differentiator. It helps establish you as a leader in the field, providing employers and customers with tangible evidence of your skills and expertise. A training in Hadoop Administration will help prepare you for the demands of the industry.

        Live Class Practical Oriented Training

        Timely Doubt Resolution

        Dedicated Student Success Mentor

        Certification & Job Assistance

        Free Access to Workshop & Webinar

        No Cost EMI Option

        Cloudera Manager features that make managing your clusters easier, such as aggregated logging, configuration & resource...

        Configuring & deploying production-scale clusters that provide key Hadoop-related services, include YARN, HDFS, Impala,...

        Determining the correct hardware and infrastructure for your cluster

        Proper cluster configuration and deployment to integrate with the data center

        Ingesting, storing, and accessing data in HDFS, Kudu, and cloud object stores such as Amazon S3

        How to load file-based and streaming data into the cluster using Kafka and Flume

        Configuring automatic resource management to ensure service-level agreements are met for multiple users of a cluster

       Lecture-1 The Cloudera Enterprise Data Hub

       Lecture-2 Installing Cloudera Manager and CDH

       Lecture-3 Configuring a Cloudera Cluster

       Lecture-4 Hadoop Distributed File System

       Lecture-5 HDFS Data Ingest

       Lecture-6 Hive and Impala

       Lecture-7 YARN and MapReduce

       Lecture-8 Apache Spark

       Lecture-9 Planning Your Cluster

       Lecture-10 Advanced Cluster Configuration

       Lecture-11 Managing Resources

       Lecture-12 Cluster Maintenance

       Lecture-13 Monitoring Clusters

       Lecture-14 Cluster Troubleshooting

       Lecture-15 Installing and Managing Hue

       Lecture-16 Security

       Lecture-17 Apache Kudu

       Lecture-18 Apache Kafka

       Lecture-19 Object Storage in the Cloud 

    •   Lecture-1 The Cloudera Enterprise Data Hub
Live Lecture 
·       Cloudera Enterprise Data Hub

·       CDH Overview

·       Cloudera Manager Overview

·       Hadoop Administrator Responsibilities

·       Introduction to big data

·       Common big data domain scenarios

·       Limitations of traditional solutions

·       Hadoop Architecture

·       Hadoop 1.0 ecosystem and its Core Components

·       Hadoop 2.x ecosystem and its Core Components

·       Application submission in YARN

·       Hadoop Components and Ecosystem

·       Data loading & Reading from HDFS

·       Replication Rules

·       Rack Awareness theory

·       Practical Exercise
    •   Lecture-2 Installing Cloudera Manager and CDH
Live Lecture 
·       Cluster Installation Overview

·       Cloudera Manager Installation

·       CDH Installation

·       CDH Cluster Services

·       Practical Exercise
    •   Lecture-3 Configuring a Cloudera Cluster
Live Lecture 
·       Configuration Settings

·       Modifying Service Configurations

·       Configuration Files

·       Managing Role Instances

·       Adding New Services

·       Adding and Removing Hosts

·       Practical Exercise
    •   Lecture-4 Hadoop Distributed File System
Live Lecture 
·       HDFS Topology and Roles

·       Edit Logs and Checkpointing

·       HDFS Performance and Fault Tolerance

·       HDFS and Hadoop Security Overview

·       Web User Interfaces for HDFS

·       Using the HDFS Command Line Interface

·       Other Command Line Utilities

·       Practical Exercise
    •   Lecture-5 HDFS Data Ingest
Live Lecture 
·       File Formats

·       Ingesting Data using File Transfer or REST Interfaces

·       Importing Data from Relational Databases with Apache Sqoop

·       Ingesting Data from External Sources with Apache Flume

·       Best Practices for Importing Data

·       Practical Exercise
    •   Lecture-6 Hive and Impala
Live Lecture 
·       Apache Hive

·       Apache Impala

·       Practical
    •   Lecture-7 YARN and MapReduce
Live Lecture 
·       Running Applications on YARN

·       Viewing YARN Applications

·       YARN Application Logs

·       MapReduce Applications

·       YARN Memory and CPU Settings

·       Practical Exercise
    •   Lecture-8 Apache Spark
Live Lecture 
·       Spark Applications

·       How Spark Applications Run on YARN

·       Monitoring Spark Applications

·       Practical Exercise
    •   Lecture-9 Planning Your Cluster
Live Lecture 
·       General Planning Considerations

·       Choosing the Right Hardware

·       Network Considerations

·       Virtualization Options

·       Cloud Deployment Options

·       Configuring Nodes

·       Practical Exercise
    •   Lecture-10 Advanced Cluster Configuration
Live Lecture 
·       Configuring Service Ports

·       Tuning HDFS and MapReduce

·       Enabling HDFS High Availability

·       Practical Exercise
    •   Lecture-11 Managing Resources
Live Lecture 
·       Configuring cgroups with Static Service Pools

·       The Fair Scheduler

·       Configuring Dynamic Resource Pools

·       Impala Query Scheduling

·       Practical Exercise
    •   Lecture-12 Cluster Maintenance
Live Lecture 
·       Configuring cgroups with Static Service Pools

·       The Fair Scheduler

·       Configuring Dynamic Resource Pools

·       Impala Query Scheduling

·       Practica
    •   Lecture-13 Monitoring Clusters
Live Lecture 
·       Cloudera Manager Monitoring Features

·       Health Tests

·       Events and Alerts

·       Charts and Reports

·       Monitoring Recommendations

·       Practical
    •   Lecture-14 Cluster Troubleshooting
Live Lecture 
·       Troubleshooting Tools

·       Misconfiguration Examples

·       Essential Points

·       Practical Exercise
    •   Lecture-15 Installing and Managing Hue
Live Lecture 
·       Managing and Configuring Hue

·       Hue Authentication and Authorization

·       Practical Exercise
    •   Lecture-16 Security
Live Lecture 
·       Hadoop Security Concepts

·       Hadoop Authentication Using Kerberos

·       Hadoop Authorization

·       Hadoop Encryption

·       Securing a Hadoop Cluster

·       Practical Exercise
    •   Lecture-17 Apache Kudu
Live Lecture 
·       Architecture

·       Installation and Configuration

·       Monitoring and Management Tools

·       Practical Exercise
    •   Lecture-18 Apache Kafka
Live Lecture 
·       What Is Apache Kafka?

·       Apache Kafka Overview

·       Apache Kafka Cluster Architecture

·       Apache Kafka Command Line Tools

·       Using Kafka with Flume

·       Practical Exercise
    •   Lecture-19 Object Storage in the Cloud
Live Lecture 
·       Object Storage

·       Connecting Hadoop to Object Storage

·       Practical Exercise
    No prerequisites are required for taking up this training. Though, having a basic knowledge of Linux can help.
    The course offers a variety of online training options, including: Live Virtual Classroom Training: Participate in real-time interactive sessions with instructors and peers. 1:1 Doubt Resolution Sessions: Get personalized assistance and clarification on course-related queries. Recorded Live Lectures*: Access recorded sessions for review or to catch up on missed classes. Flexible Schedule: Enjoy the flexibility to learn at your own pace and according to your schedule.
    Live Virtual Classroom Training allows you to attend instructor-led sessions in real-time through an online platform. You can interact with the instructor, ask questions, participate in discussions, and collaborate with fellow learners, simulating the experience of a traditional classroom setting from the comfort of your own space.
    If you miss a live session, you can access recorded lectures* to review the content covered during the session. This allows you to catch up on any missed material at your own pace and ensures that you don't fall behind in your learning journey.
    The course offers a flexible schedule, allowing you to learn at times that suit you best. Whether you have other commitments or prefer to study during specific hours, the course structure accommodates your needs, enabling you to balance your learning with other responsibilities effectively. *Note: Availability of recorded live lectures may vary depending on the course and training provider.
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    Baroda Institute Of Technology - Training Program

    BIT (Baroda Institute Of Technology) Is A Training And Development Organization Catering To The Learning Requirements Of Candidates Globally Through A Wide Array Of Services. Established In 2002. BIT Strength In The Area Is Signified By The Number Of Its Authorized Training Partnerships. The Organization Conducts Trainings For Microsoft, Cisco , Red Hat , Oracle , EC-Council , Etc. Domains / Specialties Corporate Institutional Boot Camp / Classroom Online – BIT Virtual Academy Skill Development Government BIT’s Vision To Directly Associate Learning With Career Establishment Has Given The Right Set Of Skilled Professionals To The Dynamic Industry. Increased Focus On Readying Candidates For On-the-job Environments Makes It A Highly Preferred Learning Provider. BIT Is Valued For Offering Training That Is At Par With The Latest Market Trends And Also Match The Potential Of Candidates. With More Than A Decade Of Experience In Education And Development, The Organization Continues To Explore Wider Avenues In Order To Provide Learners A Platform Where They Find A Solution For All Their Up- Skilling Needs!

    Graduation
    2002
    Data Sciences

    More Courses by : Baroda Institute of Technology


    Baroda Institute of Technology
    ₹22000  ₹ 25000  

    12% off

     
    Buy Now
    This includes following
    •  120 Hours
    •  Completion certificate : Yes
    •  Language : Hinglish

    More Courses by : Baroda Institute of Technology


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