Course information

Hadoop Big Data Certification Training Course Outline

Module 1: Understanding Hadoop

  • What is Web Hadoop?
  • Why is Hadoop Important?
  • Hadoop Architecture
  • Challenges of Using Hadoop

Module 2: Processing Distributed Data

  • HDFS
  • MapReduce
    • Architecture
    • Processing Data

Module 3: Introduction to Data Storage and Processing

  • Overview
  • Projects for Structured Data Storage and Processing

Module 4: Defining Hadoop Cluster Requirements

  • Hadoop Cluster
  • Advantages 
  • Hadoop Cluster Architecture 
  • Best Practices for Building Hadoop Cluster

Module 5: Configuring a Cluster

  • Types of Configuration Files Drive Hadoop Configuration
  • Code Example  

Module 6: Maximising HDFS Robustness

  • Three Types of Failures in HDFS
  • Data Disk Failure, Heartbeats, and Re-Replication
  • Cluster Rebalancing
  • Data Integrity
  • Metadata Disk Failure
  • Snapshots

Module 7: Managing Resources and Cluster Health

  • Managing Resources
  • Managing HDFS Cluster
  • Secondary NameNode Configuration
  • MapReduce Cluster Management 

Module 8: Maintaining a Cluster

  • FileSystem Checks 
  • HDFS Balancer Utility 
  • Add New Nodes to Cluster
  • Decommissioning a Node from Cluster
  • Datanode Volume Failures
  • Database Backups
  • HDFS Metadata Backup
  • Purging Older Log Files

Module 9: Extending Hadoop and Implementing Data Ingress

  • Extending Hadoop Towards Data Lake

Module 10: Extending Hadoop and Implementing Data Ingress

  • Hadoop Built-in Ingress and Egress Tools  

Module 11: Planning for Backup, Recovery, and Security

  • Introduction to Backup and Recovery
  • Goals and Objectives

Module 12: Introduction to Big Data

  • What is Big Data? 
  • Three V’s
  • Sources of Big Data  

Module 13: Storing Big Data

  • Introduction to Big Data Storage
  • Key Requirements of Big Data Storage
  • Big Data Storage Architectures

Module 14: Processing Big Data

  • Introduction to Data Processing
  • Big Data Processing Frameworks 
  • What is a Traditional Approach?
  • MapReduce
  • Hadoop and Big Data
  • Distributed Storage System
  • YARN
  • Hadoop 1.0/Hadoop 2.0
  • Advantages of Hadoop
  • Hadoop Ecosystem
  • Hortonworks Data Platform

Module 15: Tools and Techniques to Analyse Big Data

  • Apache Hadoop
  • Microsoft HDInsight
  • NoSQL
  • Hive
  • Sqoop
  • PolyBase
  • Big Data in Excel
  • Presto

Module 16: Developing a Big Data Strategy

  • Steps to Develop a Big Data Strategy 
    • Understanding Business Objectives
    • Have a Clear Strategy for Hadoop
    • Build a Data-Driven Culture
    • Choose the Right Platform
    • Start Small

Module 17: Implementing Big Data Solution

  • Steps for Implementing a Big Data Solution
    • Collect and Load Data
    • Process, Query, Transform Data
    • Consume and Visualise Data
    • Build End-To-End Solutions

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Who should attend this Hadoop Big Data Certification Course? 

This Hadoop Big Data Certification Course is suitable for a wide range of individuals who are interested in mastering the concepts and techniques related to Hadoop and Big Data. This course can be beneficial for a wide range of professionals, including:

  • Data Professionals
  • Software Developers
  • Database Administrators
  • System Administrators
  • IT Professionals
  • Business Analysts
  • Project Managers

Prerequisites of the Hadoop Big Data Certification Course

There are no formal prerequisites for this Hadoop Big Data Course.

Hadoop Big Data Certification Training Course Overview

Big Data and Analytics Training has emerged as a critical domain. The Hadoop Big Data Certification Training introduces delegates to the world of Big Data and its relevance in modern business and technology landscapes. With data becoming the lifeblood of organisations, understanding and harnessing Big Data and Analytics is essential.

Proficiency in Big Data and Analytics Courses is essential for professionals such as Data Professionals, Software Developers, and IT Professionals. Mastering Big Data Analytics Courses can open doors to lucrative career opportunities and allow individuals to harness the power of data to make informed decisions.

This intensive 2-day Big Data Analytics Course by The Knowledge Academy, empowers delegates with the knowledge and practical skills necessary to navigate the complex landscape of Big Data. Through hands-on experience and expert guidance, delegates will gain the competence to process, analyse, and extract valuable insights from vast data sets.

Course Objectives

  • To understand the fundamentals of Big Data and Analytics
  • To employ Hadoop technology to manage and process large datasets
  • To perform data analysis and gain insights from Big Data
  • To explore real-world use cases and applications of Big Data Analytics
  • To master the art of data visualisation for effective communication
  • To develop practical problem-solving skills in Big Data scenarios

After completing the Hadoop Big Data Training Course, delegates will receive a certification in Hadoop Big Data Analytics, validating their expertise and enhancing their career prospects in the competitive world of Big Data and Analytics. This certification is a testament to their proficiency in handling and interpreting Big Data, making them valuable assets for the delegate's future.

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What’s included in this Hadoop Big Data Certification Course? 

  • World-Class Training Sessions from Experienced Instructors    
  • Hadoop Big Data Certificate 
  • Digital Delegate Pack

Why choose us

Our Hong Kong venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Hong Kong is an autonomous territory of the People’s Republic of China and can be located on the southern coast of China. Hong Kong has a population of around 7 million people. The education system in Hong Kong is mostly based around the English system and it is overseen by the Education Bureau and the Social Welfare Department. One of the earliest schools in Hong Kong was Li Ying College established in 1075. The education level begins with preschool education that is payable education, paid by pupil’s parents. The primary and secondary education is mandatory for every child in Hong Kong to attend from the age of 6 to 18. Higher education remains exclusive in Hong Kong and adult education is a growing sector in Hong Kong, with two non-profit school running evening courses. The University of Hong Kong was founded in 1911 and is the oldest tertiary (higher education) institution in Hong Kong and is organised into 10 academic faculties with English as the main language of instruction. The Education Bureau in Hong Kong also provides educational services for immigrant children from mainland China and other countries. Hong Kong also has 175 internal schools.

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Address

62/F & 66/F
The Center
99 Queens Road
Central
Hong Kong

T: +852 2592 5349

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Big Data Training | Hadoop Big Data Certification in Hong Kong. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Big Data Training | Hadoop Big Data Certification in Hong Kong, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

What our customers are saying

Big Data Training | Hadoop Big Data Certification in Hong Kong FAQs

The Hadoop Big Data Certification Course teaches the fundamentals of Hadoop and Big Data technologies, providing a deep knowledge of distributed computing and data processing frameworks to manage large-scale data.
This certification course covers Hadoop architecture, HDFS, MapReduce, YARN, Pig, Hive, HBase, and other Big Data tools, enabling delegates to handle and analyse massive datasets effectively.
This course prepares you to use tools like Hadoop, HDFS, MapReduce, Hive, Pig, HBase, YARN, and other essential Big Data technologies, equipping you with practical, hands-on experience.
You will gain practical skills in managing and analysing large datasets, implementing Hadoop clusters, processing data with MapReduce, and utilising various Big Data tools for efficient data management.
The course content is delivered through various modes, including online, in-person, and self-paced formats, allowing flexibility in learning to suit your schedule and preferences.
Yes, this certification course can be customised for corporate training programs, to meet the specific needs of your organisation and enhance the team’s Big Data capabilities.
The course content is updated to reflect the latest advancements in Hadoop and Big Data, ensuring that delegates stay current with industry trends and technologies.
Obtaining a Hadoop Big Data Certification enhances career prospects by providing in-demand data management and analysis skills, making you an asset in the rapidly growing field of Big Data.
These online courses offer a flexible and convenient way to learn Hadoop Big Data, allowing you to study at your own pace while acquiring practical experience with the technology.
The Big Data Hadoop Training Course offers benefits such as comprehensive knowledge of Hadoop, hands-on experience, and the ability to handle complex data processing tasks, making you a competitive candidate in the job market.
To register for the course, visit the course The Knowledge Academy's website, navigate to the course page, and click on the registration button. Fill in the required details, select your preferred schedule, and complete the payment process.
A QUAD-core or higher processor, 16GB of RAM and SSDs are recommended for faster performance. Windows 10 or macOS High Sierra are the preferred operating systems.
The Knowledge Academy offers flexible learning options which help delegates learn according to their convenience. These learning modes include the online instructor-led training, classroom training, on-site training, and self-paced training.
There are no formal prerequisites for this Hadoop Big Data Course.
Required skills for a Hadoop Developer include proficiency in Java or Python, an understanding of Hadoop architecture, and experience with tools like Hive, Pig, and HBase for data processing and analysis.
Amazon Web Services, Cloudera, IBM, Twitter, Netflix, Uber etc are a few of the companies that use Hadoop Big Data.
Top companies like Apple, Google, IBM, Facebook, Microsoft and more are looking out for Hadoop Big Data professionals and with our Hadoop Big Data Course, you will have a competitive edge in the job market.
This certification enhances job prospects in the Big Data industry by equipping you with the required skills and knowledge in roles such as Hadoop Developer, Data Engineer, and Big Data Analyst.
Through this certification, you can expect networking opportunities and industry connections that may lead to job offers, collaborations, or further learning, as well as exposure to industry best practices.
With a Hadoop Big Data Certification, you can pursue job roles such as Hadoop Developer, Data Engineer, and Big Data Analyst and work in technology, finance, healthcare, retail, and more.
The Knowledge Academy stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this course.
The training fees for Hadoop Big Data Certificationin Hong Kong starts from HKD19495
The Knowledge Academy is the Leading global training provider for Hadoop Big Data Certification.
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Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

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