Hadoop Developer Certification Course


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We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.


June 2024

Code Date Duration Mode Fee Action
HDC002 17 Jun 2024 - 28 Jun 2024 10 days Half-day KES 120,000 | USD 1,398 Register
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June 2024

Code Date Duration Mode Fee Action
HDC002 17 Jun 2024 - 28 Jun 2024 10 days Half-day KES 120,000 | USD 1,398 Register
I Want To See More Dates...

Introduction

Welcome to the Hadoop Developer Certification Training course! In today's data-driven world, the ability to effectively process, analyze, and derive insights from large volumes of data is crucial for organizations to stay competitive. Apache Hadoop has emerged as a leading framework for distributed processing of Big Data, enabling organizations to tackle the challenges posed by massive datasets.

This comprehensive training program is designed to equip you with the knowledge and skills needed to become a proficient Hadoop developer and prepare you for the Hadoop Developer Certification exam. Whether you're new to Hadoop or looking to enhance your existing skills, this course will provide you with the practical experience and theoretical understanding required to excel in the field of Big Data.

Duration

10 Days

Who Should Take This Course:

This course is ideal for software developers, data engineers, and IT professionals who want to build a career in Big Data and Hadoop development. Whether you're a beginner or an experienced professional, this course will provide you with the foundational knowledge and practical skills needed to succeed as a Hadoop developer.


Course Level:
  • Foundations of Big Data and Hadoop: Understand the fundamentals of Big Data and the role of Hadoop in processing large-scale datasets.
  • Hadoop Architecture and Ecosystem: Dive deep into the architecture and components of Hadoop, including HDFS, MapReduce, YARN, and other ecosystem tools.
  • Hands-on Experience: Gain practical experience with setting up Hadoop clusters, writing MapReduce programs, and working with Hadoop ecosystem tools through hands-on exercises and projects.
  • Real-world Projects and Case Studies: Apply your knowledge to real-world use cases and projects, gaining valuable insights and experience in solving data processing challenges.

Module 1: Introduction to Big Data and Hadoop

  • Overview of Big Data concepts and challenges
  • Introduction to Apache Hadoop ecosystem
  • Understanding Hadoop Distributed File System (HDFS)
  • Basics of MapReduce and its role in distributed computing

Module 2: Hadoop Architecture and Ecosystem

  • Deep dive into Hadoop architecture and components
  • Understanding Hadoop Distributed File System (HDFS) architecture
  • Overview of Hadoop ecosystem components: YARN, MapReduce, Hive, Pig, HBase, etc.

Module 3: Setting Up Hadoop Environment

  • Installing and configuring Hadoop on a single node and multi-node cluster
  • Configuring Hadoop daemons and services
  • Hands-on exercises with Hadoop setup and configuration

Module 4: HDFS and MapReduce

  • Understanding HDFS architecture and data replication
  • Hands-on exercises with HDFS commands and operations
  • Writing MapReduce programs in Java for data processing tasks
  • Debugging and optimizing MapReduce jobs

Module 5: Advanced MapReduce

  • Combiners, Partitioners, and InputFormats in MapReduce
  • MapReduce join techniques: Map-side and Reduce-side joins
  • Working with MultipleOutputs in MapReduce
  • Hands-on exercises with advanced MapReduce techniques

Module 6: Introduction to Apache Hive

  • Overview of Apache Hive and its architecture
  • Working with HiveQL for querying structured data
  • Hive data modeling and partitioning
  • Hands-on exercises with Hive for data analysis tasks

Module 7: Apache Pig

  • Introduction to Apache Pig and its features
  • Writing Pig Latin scripts for data processing tasks
  • Using Pig for ETL (Extract, Transform, Load) operations
  • Hands-on exercises with Apache Pig

Module 8: Apache HBase

  • Introduction to Apache HBase and its architecture
  • Data modeling with HBase: Tables, Rows, and Columns
  • Performing CRUD (Create, Read, Update, Delete) operations with HBase
  • Hands-on exercises with Apache HBase

Module 9: Introduction to Apache Spark

  • Overview of Apache Spark framework and its advantages
  • Spark architecture: RDDs, DataFrames, and Spark SQL
  • Writing Spark applications in Scala or Python
  • Hands-on exercises with basic Spark operations

Module 10: Integration with Hadoop Ecosystem

  • Running Spark on YARN for resource management
  • Integrating Spark with HDFS and Hive
  • Performing data processing tasks using Spark with Hadoop ecosystem tools
  • Hands-on exercises demonstrating integration with Hadoop ecosystem

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Course Administration Details:

METHODOLOGY

The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

TRAINING VENUE

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

ACCOMMODATION AND AIRPORT PICKUP

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email:[email protected]/[email protected]

Mob: +254 715 077 817/+250789621067

TAILOR- MADE

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817/+250789621067

Mob: +254 792516000+254 792516010 , +250 789621067 ,or mail [email protected]/[email protected]

PAYMENT

Payment should be transferred to IRES account through bank on or before start of the course.

Send proof of payment to [email protected]/[email protected]


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