top
Corporate training

up - skill your team

Request Quote
Hadoop Administration Rated 4.5/5 based on 340 customer reviews

Hadoop Administration Training in Sydney, Australia

Learn ways to implement, manage the ongoing administration of a Hadoop cluster and to build powerful applications to analyse Big Data

  • 24 hours of Instructor-led sessions
  • Basic to Advanced level
  • Hands-on learning
Get Personalized Help for Free Enroll Now

Featured On

Modes of Delivery

Key Features

24 hours of Instructor-led training classes
Interactive hands-on classroom sessions
Understand the concept of Hadoop Distributed File System (HDFS)
Learn to configure, deploy and maintain a Hadoop cluster, and to confidently navigate the Hadoop ecosystem
Build powerful applications to analyse Big Data & monitor hadoop cluster
Our Hadoop Administration experts will help students in implementing the technologies for future projects

Description

It has been predicted that Hadoop would be adopted by most of the Fortune 2000 organizations by 2020. This is not a surprise given that Big Data drives business intelligence and Hadoop can help analyse Big Data and aid in business development. As organizations are racing towards exploring the benefits of Hadoop, they are on the lookout for qualified, professional Hadoop specialists who have the technical expertise to manage Hadoop clusters in a development or production environment. Zeolearn’s course on Hadoop Administration introduces you to the fundamental concepts of Apache Hadoop™ and Hadoop cluster. Through hands on exercises and practice sessions you will learn to configure, deploy and maintain a Hadoop cluster, and to confidently navigate the Hadoop ecosystem. By the end of this session you will learn how to configure backup options, diagnose and recover node failures, and address any challenges related to Big Data and cloud services.

Here’s what you will learn!

  • Implement and manage the ongoing administration of a Hadoop cluster
  • Build powerful applications to analyse Big Data and learn to manage and monitor the Hadoop cluster
  • Ensure performance tuning of Hadoop clusters and Hadoop MapReduce routines

Is this course right for you?

System administrators, DBAs, Software architects, IT Managers, System Administrators and even students who want to learn about Hadoop will benefit from this course.

What do you need to be familiar with?

  • Basic knowledge of Linux
  • Knowledge of algorithms and computer science technicalities will also help

 

Curriculum

  1. Hadoop cluster architecture
  2. Data loading into HDFS
  3. Roles and Responsibilities of a Hadoop Cluster Administrator
  1. Hadoop server roles and their usage
  2. Rack awareness
  3. Write and Read
  4. Replication Pipeline
  5. Data Processing
  6. Hadoop Installation and Initial Configuration
  7. Deploying Hadoop in pseudo-distributed mode
  8. Deploying a multi-node Hadoop cluster
  9. Installing Hadoop Clients
  1. Selecting the appropriate hardware
  2. Designing a scalable cluster
  3. Building the cluster
    • Installing the Hadoop daemons
    • Optimizing the network architecture
  4. Managing and scheduling jobs
  5. Types of schedulers in Hadoop
  6. Configuring the schedulers and run MapReduce jobs
  7. Cluster monitoring and troubleshooting
  1. How to manage hardware failures
  2. Securing Hadoop clusters
  3. Configuring Hadoop backup
  4. Distcp to copy data
  5. Cluster maintenance
  6. Configuring HDFS Federation
  7. Basics of Hadoop Platform Security
  8. Securing the Platform
  9. Configuring Kerberos
  1. Isolating single points of failure
  2. Maintaining High Availability
  3. Triggering manual failover
  4. Automating failover with Zookeeper
  5. Extending HDFS resources
  6. Managing the namespace volumes
  7. Critiquing the YARN architecture
  8. Identifying the new daemons
  1. Starting and stopping Hadoop daemonso Monitoring HDFS status
  2. Adding and removing data nodes
  3. Managing MapReduce jobs
  4. Tracking progress with monitoring tools
  5. Commissioning and decommissioning compute nodes
  1. Oozie
  2. Hcatalog/Hive Administration
  3. HBase Architecture
  4. HBase setup
  5. HBase and Hive Integration
  6. HBase performance optimization

Frequently Asked Questions

Apache Hadoop™ is a dynamic platform that aids in distributed processing of large data sets across clusters of computers and servers. That makes it a vital technology in this era of Big Data analytics and processing. You can be an integral part of the data value chain, setting up and maintaining complex data sets while also enabling high-value analytics.Our course will teach you how to use Apache Hadoop™ and perform an administrator’s responsibilities of setting up, deploying and managing Hadoop clusters. With in-depth courseware and expert guidance from our faculty you will learn to tackle everyday problems and steer your career on the success path.
After completing our course, you will be able to:
  • Understand the concept of Hadoop Distributed File System (HDFS)
  • Build powerful applications using Apache Hadoop™ and analyse Big Data
  • Setup, manage and monitor Hadoop cluster
  • Understand how to deal with hardware failures and ensure data safety and recovery by implementing solutions
  • Get a fundamental understanding of Pig scripting language
  • To install Hive, run HiveQL queries to create tables, load data etc
  • Use Apache Sqoop to transfer data between Hadoop and relational databases
  • Use HBase to perform real-time read/write access to Big Data
Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will build a Hadoop cluster, with full support from your mentors and use this Hadoop implementation to solve Big Data problems. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.
Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.
You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.
  • Your classes will be held online. All you need is a windows computer with good internet connection to attend your classes online. A headset with microphone is recommended.
  • You may also attend these classes from your smart phone or tablet. 
Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

Related Courses

Big Data Analytics using Hadoop Gain knowledge of Big Data Analytics concepts and tools along with Reinforce concepts by working on a Big Data Analytics Project Big Data Analytics using Hadoop 30 hours of Instructor-led training Beginner to Advanced level curriculum In-depth knowledge of Big Data Analytics concepts and tools Understand the best practices for Hadoop development 1536 760
Apache Spark and Scala Master the concepts of the Apache Spark framework. Apache Spark and Scala 24 hours of Instructor-led classes Beginner to Advanced level curriculum 1700 628
Apache Storm Learn about Storm architecture, it’s comparison to Hadoop and How to handle failures with the Trident Topologies in Storm Apache Storm 18 hours of Instructor-led training Master the advanced concepts of Storm Understand Storm Architecture Learn how websites like Twitter handle real-time processing with Storm 20 234
Apache Kafka Learn about Kafka and its components and study how to Integrate Kafka with Hadoop, Storm and Spark Apache Kafka 24 hours of Instructor-led classes Basic to Advanced level curriculum Design & develop robust messaging apps 32 345
View all courses

Top Blogs

Python in a Nutshell: Everything That You Need to Know

Blog

The Ultimate Guide to Node.Js

Blog

MIT’s new automated ML runs 100x faster than human Data Scientists

What's New

Gartner says, by 2020, 2.3 Million jobs will be created by Artificial Intelligence

What's New

Hadoop Administration Course in Sydney

Introduction

Sydney, with its sun-baked beaches, eclectic cuisine, and home to iconic structures such as the Sydney Opera House stands out today as one of the most visited cities in the world. With a top quality infrastructure in place, Sydney continues to attract investment as more companies make a beeline for Australia and especially Sydney to set up shop. As a result, the city is awash with more opportunities for talented professionals, across all sectors.

About the course:

Big Data drives big intelligence and companies know that they need to optimise their business analytics and business process if they want to retain their edge over the competition. Streamlining analytics enables these companies to derive business insights and upcoming trends well ahead of anyone else, which is why more companies are busy revamping their data processes and focusing more on programs like Hadoop. This is why you need to check out Zeolearn Academy as they offer complete and comprehensive Hadoop Administration training in Sydney.

The Hadoop Administration course in Sydney consists of twenty-four hours of intensive training modules, with the training being led by certified industry experts. It comes with extensive lab sessions, practical exercises at the end of each training module and should provide you with a strong foundation in database management, and how to maintain and manage large data clusters effectively. The Hadoop training course in Sydney is priced reasonably and comes with mentorship opportunities as well. It also comes with additional coaching in the form of one on one session with the trainer along with a valid Hadoop Administration certification in Sydney.

What you learn

Our Hadoop Administration course in Sydney offers the following –

  • Interactive training sessions
  • Classes on Hadoop Administration
  • Materials on database management, data analytics
  • To effectively analyse large data clusters
  • To design, deploy Hadoop clusters
  • To maintain and manage large data sets
  • To configure Hadoop clusters
  • To recover lost data
  • To streamline business analytics

Course objectives:

  • To ensure that all large data sets are sourced, processed, and analysed in real time, thereby enabling companies to derive valuable insights in time
  • To streamline data analytics
  • To ensure that large data sets are processed efficiently and instantly, to also recover lost data from other nodes

Highlights:

  • Immersive, hands-on training sessions
  • Lab sessions, practical and demo
  • One on one training sessions
  • Live projects
  • Flexible schedule
  • Competitive pricing and fees
  • Money back guarantee

Is this course right for you?

If you are into database management and need to specialise further, then Zeolearn’s Hadoop Administration training course in Sydney should be perfect for you. So check it out today and enrol soon.

Prerequisite:

You are expected to be familiar with Linux and algorithms. The course should help you hone your abilities further.

other trainings

How We Can Help You

Call us +1-646-568-9997
Live Chat
Drop a query
View Courses