Big Data and Hadoop Administrator

Our training course will enhance participants with the aptitudes and methodologies required to improve the Big Data Analytics industry. With the help of Hadoop Admin training, participants expertise in adaptable and versatile frameworks, which are based on the Apache Hadoop ecosystem, includes installation and configuration of Hadoop, cluster management with Hive, Flume, Pig, Impala, Sqoop and Cloudera, and Big Data implementations that have exceptional security, speed and scale.

Key features:
  • 32 hours of instructor-led training
  • 20 hours of self-paced video
  • Contains 4 real industry-based projects
  • Consists 3 simulation exams structured to validate Hadoop Admin skills

Course description:

What are the objectives of this course?

This course by 4CLearn provides participants with all the skills need for their next Big Data admin assignment. Participants upskill their knowledge on work with Hadoop’s Distributed File System, its computation and vendor-specific distributions, processing frameworks and core Hadoop distributions like; Cloudera. Participants must have knowledge on cluster management solutions and to set up, defense, secure and monitor clusters and their components like; Sqoop, Flume, Pig, Hive and Impala along with this Big Data Hadoop Admin course.

This training course helps participants to apprehend the Big Data fundamentals and advanced concepts and other technologies relate to Hadoop stack and components of the Hadoop Ecosystem.

What skills will you learn?

After completing this Hadoop Admin course, Participants are capable of:

  • Apprehend the basics and features of Big Data and different scalability options available to help organizations to manage Big Data.
  • Expertise in Hadoop framework concepts that involves architecture, Hadoop distributed file system(HDFS) and deployment of Hadoop clusters through core or vendor specific distributions.
  • Apply Cloudera manager for configuration, deployment, maintenance and monitoring of Hadoop clusters.
  • Apprehend Hadoop Administration activities and computational frameworks for processing Big Data.
  • Interface with Hadoop clients, web interfaces and nodes for clients like HUE to activity with Hadoop Cluster.
  • Applying cluster tools and designing for data absorption into Hadoop clusters and monitoring activities.
  • Utilize Hadoop components within Hadoop ecosystem like Hive, HBase, Spark and Kafka.
  • Apprehend security implementation to secure data and clusters.
Who should take this course?

Big Data career chances are consistently increasing and Hadoop had become a most-sought technology for the following professionals:

  • Systems administrators and IT managers.
  • IT administrators and operators.
  • IT Systems Engineers.
  • Data Engineers and database administrators
  • Data Analytics Administrators.
  • Cloud Systems Administrators.
  • Web Engineers.
  • Aspirants who desired to design, deploy and maintain Hadoop clusters.
What projects are included in this course?

Successful validation of one of the following two projects is part of the Hadoop Admin certification eligibility criteria:

Scalability: Deploying Multiple Clusters

The organization required to configure a new cluster and has obtained new machines; configuring clusters on new machines will take lot of time. Organization required to configure a new cluster on the same set of machines and initiate testing the new cluster’s working and applications.

Project 2
Working with Clusters

Describe participants apprehending of following tasks:

  • Enabling and disabling Hadoop Architecture for Namenode and Resource Manager in CDH.
  • Terminating Hue service from participants cluster, which also have other services like; Hbase, Hive, YARN configure and HDFS.
  • Including a user and allowing read access to participant Cloudera cluster.
  • Updating replication and blocksize of your cluster.
  • Including Hue as a service, logging in as user HUE, and downloading examples for Hive, Pig, job designer and others.

more practice we provide two more projects to help participants to initiate their Hadoop administrator journey:

Project 3
Data Ingestion and Usage

Absorbing data from external structured databases into HDFS, working on data on HDFS by loading it into a data warehouse package like Hive, and using HiveQL for querying, analyzing, and loading data in another set of tables for further usage.

The organization already has an immense amount of data in an RDBMS and has now configured a Big Data practice. It is focused in moving data from the RDBMS into HDFS so that it can execute data analysis through software packages like; Apache Hive. The organization will utilize the profits of HDFS and features like; auto replication and fault tolerance offered by HDFS.

Project 4
Securing Data and Cluster

Securing data stored in the Hadoop cluster by protecting it and maintaining back up.

The organization would like to secure its data on various Hadoop clusters. The objective is to avoid data loss from unexpected deletes and to make difficult data available to users and applications even if more than one clusters is down.

Why learn Big Data Hadoop Administrator course?

The world is transforming into digital, and this defines big data still have its scope. The significance of big data and data analytics is going to maintain the growth in the coming years. Preferring a career in the field of big data and analytics might just be the type of role that a participants have been strive to identify to satisfy the career expectations.

Interested professionals desired to working in this field can expect a salary, with the average salary for data scientists starts from $116,000. Even for the entry-levels will find high salaries, with starting earnings of $92,000.

Exam & certification:

How can I unlock my 4CLearn certificate?
Online Classroom:
  • Appear one entire batch.
  • Finish one project and one simulation test with at lease score of 80%.
Online Self-Learning:
  • Finish 85% of the course.
  • Finish one project and one simulation test with at least score of 80%.


1. What are the System Requirements?

To execute Hadoop, participant system must meet the following requirements:

  • 64-bit Operating System
  • 4GB RAM

We will help participants to configure a Virtual Machine with local access.

2. What are the modes of training offered for this course?

We provide a flexible set of options:

  • Live Virtual Classroom or Online Classroom: Appear the course from their desktop through video conferencing for better productivity and decrease the time spent away from work or home.
  • Online Self-learning: Watch online lecture videos at their own pace.
3. Can I cancel my enrollment? Will I get a refund?

We provide this training in the following mode:

  • Online Self-Learning: In this mode, participants will receive the lecture videos and they can go through the course according to their convenience.
  • Live Virtual Classroom or Online Classroom: In online classroom training, participants have the option to appear for the course remotely from their desktop through video conferencing. This process saves productivity challenges and decreases your time spent away from work or home.