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Hadoop Intermediate Online Course

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Hadoop Intermediate Online Course
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Overview:

The Hadoop Intermediate course is the next step for individuals to acquire in-depth knowledge on Hadoop. The course is perfect if you want to discuss the Hadoop framework in the Fundamentals level. The goal is to keep abreast of the newest trends and ride the waves. The course will enable you to become a developer, administrator or data processor in Hadoop

The Hadoop Intermediate course will teach learners key concepts to process and analyse data sets, Sqoop and Flume, understanding of data stored in HDFS and learn data ingestion.

The Hadoop Intermediate is a two part course which covers the fundamentals and big data analytics. Digital trends have become a big part of the modern world and big data and data analytics are an ever growing field. The course is internationally recognised and accredited to a training organisation and you will be issued an internationally recognised qualification following full completion of Hadoop Intermediate course.

Why consider 1Training?

As improvements and advancements are made in technology, online courses are no longer just conventional means of studying at affordable costs. In many aspects online training offers superiority to traditional learning. There is an effectiveness and convenience that traditional learning cannot provide. The overall convenience and flexibility makes it a superior learning method.

1Training offers the most convenient path to gain an internationally recognised qualification that will give you the opportunity to put into practice your skill and expertise in an enterprise or corporate environment. You can study at your own pace at 1Training and you will be provided with all the necessary material, tutorials, qualified course instructor and multiple free resources which include Free CV writing pack, Nus Discounted Card, Free career support and course demo to make your learning experience enriching and more rewarding.

Learning Outcomes

  • Gain an understanding of different components of Hadoop.
  • Learn how to work with Hadoop Distributed File System.
  • Gain essential knowledge of Pig and its components.
  • Learn how to use HBase, its architecture and data storage.
  • Learn the common use cases of Spark.

Course Titles

  • Module 01: YARN
  • Module 02: Nifi
  • Module 03: MapReduce and Hbase
  • Module 04: Creating an HBase App

Access Duration

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course.  The course is self-paced and you can complete it in stages, revisiting the lectures at anytime.

Who is this Course aimed at?

  • The course is aimed at individuals who are enthusiasts of Big Data.
  • Those who want to acquire knowledge on Hadoop and become certified.
  • Anyone interested in learning new trends and technologies.

Entry Requirements

  • The course requires no formal pre-requisites but those with experience in Hadoop Fundamentals will find it highly useful.
  • Individuals with an interest in new technology Hadoop.

Method of Assessment

At the end of the Hadoop Intermediate course you will be required to take a multiple choice question assessment test. The multiple choice question assessment will be automatically marked with learners receiving an instant grade.

Certification

Those who successfully complete the exam will be awarded the certificate in Hadoop Intermediate.

Awarding Body

The certificate will be awarded by CPD and iAP. This internationally recognised qualification will make your CV standout and encourage employers to see your motivation at expanding your skills and knowledge in the IT enterprise.

Progression and Career Path

Once you successfully complete Hadoop Intermediate you will be qualified to work in the following position. The Hadoop Intermediate qualification will also put you in line to demand a higher salary or job promotion. The average US$ salary per annum according to https://www.indeed.com/  is given below.

  • Big Data Hadoop Developer- $107,015 per annum

According to https://www.payscale.com/

  • Project Manager – £42,549 per annum
  • Data Scientist £35,317 per annum
  • Software Developer – £30,651 per annum
  • Business Analyst – £35,543 per annum

Other Benefits

  • Written and designed by the industry’s finest expert instructors with over 15 years of experience
  • Repeat and rewind all your lectures and enjoy a personalised learning experience
  • Gain access to quality video tutorials
  • Unlimited 12 months access from anywhere, anytime
  • Excellent Tutor Support Service (Monday to Friday)
  • Save time and money on travel
  • Learn at your convenience and leisure
  • Quizzes, tests mock exams, practice exams to ensure you are 100% ready
  • Eligible for a NUS discount card

Key Features

Gain an accredited UK qualification

Access to excellent quality study materials

Learners will be eligible for TOTUM Discount Card

Personalized learning experience

One year’s access to the course

Support by phone, live chat, and email

Course Curriculum Total Units : 34
➤ Module 01: YARN
1.0 Topic A: YARN Basics - Part 1
1.1 YARN Basics – Part 2
1.2 YARN Basics – Part 3
2.0 Topic B: YARN Services - Part 1
2.1 YARN Services – Part 2
2.2 YARN Services – Part 3
3.0 Topic C: Tez and Spark - Part 1
3.1 Tez and Spark – Part 2
3.2 Tez and Spark – Part 3
4.0 Topic D: The Spark Shell - Part 1
4.1 The Spark Shell – Part 2
4.2 The Spark Shell – Part 3
5.0 Topic E: Flume, Linux, and Nifi - Part 1
5.1 Flume, Linux, and Nifi – Part 2
5.2 Flume, Linux, and Nifi – Part 3
➤ Module 02: Nifi
1.0 Topic A: Installing Nifi - Part 1
1.1 Installing Nifi – Part 2
1.2 Installing Nifi – Part 3
2.0 Topic B: Nifi Components - Part 1
2.1 Nifi Components – Part 2
2.2 Nifi Components – Part 3
3.0 Topic C: Nifi Workflow - Part 1
3.1 Nifi Workflow – Part 2
3.2 Nifi Workflow – Part 3
4.0 Topic D: Configuring Nifi Workflow - Part 1
4.1 Configuring Nifi Workflow – Part 2
4.2 Configuring Nifi Workflow – Part 3
➤ Module 03: MapReduce and Hbase
1.0 Topic A: MapReduce Combiner - Part 1
1.1 MapReduce Combiner – Part 2
1.2 MapReduce Combiner – Part 3
2.0 Topic B: MapReduce Combiner Demo - Part 1
2.1 MapReduce Combiner Demo – Part 2
2.2 MapReduce Combiner Demo – Part 3
3.0 Topic C: HBase Basics - Part 1
3.1 HBase Basics – Part 2
3.2 HBase Basics – Part 3
4.0 Topic D: HBase Shell Intro - Part 1
4.1 HBase Shell Intro – Part 2
4.2 HBase Shell Intro – Part 3
5.0 Topic E: HBase Lifecycle Architecture - Part 1
5.1 HBase Lifecycle Architecture – Part 2
5.2 HBase Lifecycle Architecture – Part 3
6.0 Topic F: HBase Lifecycle Services - Part 1
6.1 Hbase Lifecycle Services – Part 2
6.2 Hbase Lifecycle Services – Part 3
➤ Module 04: Creating an HBase App
1.0 Topic A: Creating an HBase App - Part 1
1.1 Creating an HBase App – Part 2
1.2 Creating an HBase App – Part 3
2.0 Topic B: Creating an HBase App Demo - Part 1
2.1 Creating an HBase App Demo – Part 2
2.2 Creating an HBase App Demo – Part 3
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