Hadoop Big Data Certification Overview

Hadoop Big Data Certification 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: Maximizing 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 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 Visualize Data
  • Build End-To-End Solutions

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Who should attend this Hadoop Big Data Certification Course?

This Big Data Hadoop Course in the United States 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 Big Data Hadoop Course.

Hadoop Big Data Certification Training Course Overview

Understanding Hadoop, the open-source framework, is crucial in the era of immense data growth in the United States. This course explores Hadoop's relevance in processing vast datasets efficiently, making it indispensable for professionals navigating the realm of big data analytics.

Proficiency in Hadoop in the United States is essential for professionals seeking mastery in big data management and analytics. Data scientists, analysts, and IT professionals aiming to harness the power of massive datasets should prioritize acquiring skills in Hadoop. This course empowers participants to manipulate, process, and analyze big data precisely and quickly.

This intensive 2-day training in the United States equips delegates with hands-on experience in Hadoop, ensuring a comprehensive understanding of its components. Through interactive sessions, participants will delve into Hadoop's architecture, MapReduce programming, and HDFS, gaining practical insights into handling large-scale data effectively. The training is tailored to accelerate the learning curve for quick application in real-world scenarios.

Course Objectives:

  • To comprehend the fundamentals of Hadoop and its ecosystem
  • To gain proficiency in writing MapReduce programs
  • To understand Hadoop Distributed File System (HDFS) and its role in data storage
  • To explore various Hadoop ecosystem components like Hive and Pig
  • To learn techniques for optimizing and troubleshooting Hadoop clusters
  • To grasp the integration of Hadoop with other big data tools
  • To acquire practical skills in data ingestion and processing with Hadoop

After completing this Big Data Hadoop Course in the United States, delegates will receive a recognized certification validating their expertise in Hadoop. This certification is a testament to their proficiency in handling big data, making them valuable assets in the ever-evolving landscape of data analytics and management.

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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

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Why choose us

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Hadoop Big Data Certification. 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 Hadoop Big Data Certification, 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

Hadoop Big Data Certification FAQs

Hadoop is the most used software to handle Big Data. It provides an open-source framework for distributed storage and parallel processing to solve problems that involve massive datasets and computation. This Java-based software is scalable, low-cost, and resilient, which makes it an economical solution for any organisation.
Hadoop uses the MapReduce programming model. It allows clustering computers to efficiently store and process Big Data in parallel more quickly.
Big Data is a hoard of huge datasets that cannot be processed by traditional methods of computing. With Hadoop these extremely large datasets can be stored and processed in a cluster of computers that is distributed across branches.
Yes, Hadoop is one of the primary software used for storing and processing huge datasets quickly. It is an important tool when the volume of the data goes beyond the system memory, and it is required for the data to be distributed across various servers.
Big Data does need coding because it is often stored in distributed file systems like Hadoop, which requires programming languages like Java to access and process the data. Coding also helps in simplifying the otherwise difficult task of processing Big Data using traditional tools.
Hadoop is a Java based open-source framework; therefore, the primary primary programming language it needs is Java. Although Hadoop can be used without Java, it is much less efficient.
The Big Data and Hadoop Training Courses are beneficial for a wide range of working professionals like Data Professionals, Software Developers, Database Administrators, System Administrators, IT Professionals, Business Analysts, and Project Managers.
Anyone with a curious mind and dedicated enough to study the basics of data gathering, processing, and analysis can learn Hadoop Big Data. Basic knowledge of programming languages like Java, Python, R, and SQL are required as an initial step of learning Hadoop Big Data. With The Knowledge Academy’s Big Data and Hadoop Training, you can learn the fundamentals of Hadoop Big Data.
The Online Hadoop Big Data Training can help you understand the fundamentals of Big Data and Analytics, master the art of data visualisation, work on real-life industry-based projects, and develop practical problem-solving skills in Big Data scenarios.
With the Big Data Hadoop Course, you can enhance your career opportunities as a greater number of organisations are working with Big Data, and hence, a professional proficient in Hadoop will be in demand across industries. Hadoop helps organisations and individuals solve the problem of sorting large volumes of data.
On The Knowledge Academy’s Big Data Hadoop Course page, fill in your details and contact information from the “Enquire Now” drop down menu, and one of our agents will get back to you regarding the further details.
A QUAD-core or higher processors, 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 helps delegates learn according to their convenience. These learning modes include the online instructor-led training, classroom training, on-site training, and self-paced training.
Learning the fundamentals of Hadoop and Big Data along with a strong understanding of programming languages like Java, Python, R, and SQL will help you in building a career as a Hadoop Big Data Developer. You can pursue The Knowledge Academy’s Hadoop Big Data Training Course and gain a competitive advantage in the job market for the same.
A strong understanding of the Hadoop Ecosystem, proficiency in programming languages, knowledge of SQL, and familiarity with cloud platforms are a few of the in-demand skills required for a Hadoop Developer. With our Big Data Hadoop Training, you can have a competitive edge in the job market.
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 Hadoopp Big Data professionals and with our Hadoop Big Data Course, you will have a competitive edge in the job market.
The training fees for Hadoop Big Data Certification certification in the United States starts from $3195
The Knowledge Academy is the Leading global training provider for Hadoop Big Data Certification.
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Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.


Many delivery methods

Flexible delivery methods are available depending on your learning style.


High quality resources

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"

Joshua Davies, Thames Water

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