Database

Big Data & Hadoop

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Last Update 27/11/2025
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About This Course

Big Data Hadoop training is designed to equip participants with the skills and knowledge necessary to manage, process, and analyze large datasets using the Hadoop ecosystem. This course covers key components of Hadoop, including HDFS (Hadoop Distributed File System) for storage, and MapReduce for processing large-scale data. Participants will learn to use tools like Hive, Pig, HBase, and Spark for efficient data querying, transformation, and real-time processing. The training includes hands-on projects and real-world case studies, providing practical experience in handling big data challenges. Ideal for data professionals, software developers, and anyone looking to enter the field of big data, this course provides a comprehensive understanding of the Hadoop framework and its applications in various industries to drive data-driven decision-making and innovation.

Skills You Will Learn

  • Hadoop Ecosystem Mastery: Understand the core components of the Hadoop ecosystem, including HDFS, MapReduce, YARN, and their functionalities.
  • Data Storage and Management: Efficiently store, manage, and retrieve large datasets using Hadoop Distributed File System (HDFS).
  • MapReduce Programming: Develop and execute MapReduce programs for processing and analyzing large-scale data.
  • Data Querying with Hive: Use Apache Hive for data querying and analysis through an SQL-like interface.
  • Data Processing with Pig: Implement data processing workflows using Apache Pig’s high-level scripting language.
  • NoSQL Databases with HBase: Work with Apache HBase for real-time read/write access to large datasets.
  • Real-Time Data Processing with Spark: Utilize Apache Spark for fast, in-memory data processing and real-time analytics.
  • Data Ingestion with Sqoop and Flume: Import and export data between Hadoop and relational databases using Sqoop, and ingest streaming data using Flume.
  • Cluster Resource Management with YARN: Manage and allocate cluster resources effectively with Yet Another Resource Negotiator (YARN).
  • Data Integration: Integrate Hadoop with other big data tools and platforms for comprehensive data analysis.
  • Performance Tuning: Optimize Hadoop jobs and clusters for improved performance and efficiency.
  • Data Security: Implement security measures to protect sensitive data within the Hadoop environment.

Key Highlights: Big Data Hadoop Certification Course

  • Comprehensive Curriculum: Covers core Hadoop components such as HDFS, MapReduce, YARN, and the Hadoop ecosystem.
  • Hands-On Learning: Practical exercises and real-world projects to apply Hadoop skills in big data scenarios.
  • Industry Use Cases: Study real-world use cases and applications of Hadoop in various industries.
  • Expert Instructors: Gain insights and guidance from experienced Hadoop professionals.
  • Certification: Earn a certificate upon course completion to validate your Hadoop skills and enhance your career prospects.
  • Career Support: Access resources for resume building, interview preparation, and job placement assistance in the field of big data.

Frequently Asked Questions

Should I be knowledgeable in programming to participate in the Big Data and Hadoop training?

Some knowledge of the programming language is useful but not compulsory, and the course begins with the basics.

You will be introduced to Hadoop, HDFS, MapReduce, Hive, Pig, HBase, Sqoop, and Flume, and a brief introduction to Spark.

Yes. SkillDest offers a recognized completion certificate.

It is self-paced; most of the learners can complete it within a few weeks based on their own schedule.

You may become a Big Data Engineer, Hadoop developer, Data Analyst, or Data Architect.

Tags

SQL

Curriculum

72 Lessons4h 30m

Introduction to Big Data

Overview of Big Data
Characteristics of Big Data (Volume, Velocity, Variety, Veracity, Value)
Big Data Use Cases and Applications
Challenges in Big Data Management
Introduction to Hadoop and Its Ecosystem

Hadoop Architecture and HDFS

Hadoop Installation and Setup

MapReduce Framework

Hadoop Ecosystem Components

Advanced Hadoop Topics

Data Processing with Apache Spark

NoSQL Databases in Big Data

Data Ingestion and ETL

Data Analytics and Visualization

Machine Learning and Big Data

Big Data Project Management

Capstone Project

Your Instructors

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big-data-and-hadoop

₹10,000.00

Level
Beginner
Duration 4.5 hours
Lectures
72 lectures
Subject
Database

Material Includes

  • Videos
  • Booklets
  • Guide

SkillDest isn’t just another online learning platform; it’s your passport to a world of endless possibilities. We pride ourselves on offering a diverse array of meticulously crafted courses designed to meet the ever-evolving demands of the modern workforce.

Connect with us

✉️ skilldest@gmail.com
📞 +91-8595733150

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The Big Data and Hadoop training at SkillDest is a program that will provide you with a full overview of big data to the nth degree, as well as the Hadoop system. With organizations creating and handling vast amounts of data, the demand for individuals capable of storing, processing, and analyzing large data sets is growing. This is a complete big data Hadoop course that empowers the learner with the ability and the tools to act on big data and enable them to make actionable insights.

As a data engineer, data analyst, or IT professional, this training offers a strong base of learning how to master Hadoop and the associated big data technologies deployed in sectors around the globe.

Why Choose Big Data & Hadoop Training?

In the modern digital era, companies receive massive amounts of data that is generated by many different sources, such as social media, transactions, and IoT devices. The analysis and control of such data is a matter of specific tools and skills. The Big Data and Hadoop training of SkillDest is based on the foundational concepts, as well as the practice of big data.

This Hadoop course in big data aids you in getting practical experience on using Hadoop, and therefore, you can effectively store, process, and analyze massive amounts of data. At the conclusion of the program, you will be prepared to handle the scalable big data solutions of various industries, such as finance, e-commerce, healthcare, and others.

Skills You Will Learn

The Big Data and Hadoop training will equip a person with deep knowledge and hands-on skills in:

  • The basics of Hadoop Ecosystem: Learn about Hadoop architecture, HDFS (Hadoop Distributed File System), and MapReduce.
  • Data Ingestion and Processing: Get familiar with how to ingest and process huge volumes of data with tools such as Sqoop and Flume.
  • Hive and Pig: Do analysis and transformation of data on the high-level tools, such as Hive to perform SQL-like operations and Pig to process data.
  • HBase and NoSQL Databases: Use HBase and other NoSQL databases to deal with unstructured and semi-structured data.
  • YARN and Cluster management: Hadoop YARN provides the ability to manage resources and schedule tasks in an efficient manner.
  • Data Analytics and Reporting: Use frameworks of big data to compute on large volumes of data and derive meaningful business information.
  • Integration with Other Tools: Learn how to integrate Hadoop with other tools such as Spark and other big data systems.
  • Real-Time Data Processing: Learn how to process real-time data using the new big data systems.
  • With practical projects and practical case studies, you will get the skills on how to apply big data solutions that can be immediately applied in your workplace.

Key Highlights of the Big Data Hadoop Course

Complete Curriculum: Covers all the key aspects of the Hadoop ecosystem as well as the fundamentals of big data.

Practical Training: Learn by working on real-life projects and case studies that are relevant to the industry.

Scalable Data Processing: Learn how to easily handle and process large quantities of data with Hadoop tools.

Professional Teachers: Train under professionals who have much insight into the big data technologies.

Flexible Learning: Take self-paced courses on your own time.

Career Support: Get resume-building advice, interview preparation, and job placement advice.

Certification: You can obtain a recognized certification after completing the Big Data Hadoop course to prove your knowledge.

Combining both theoretical knowledge and practical projects will make you acquire not only technical skills but problem-solving skills as well.

Who Should Enroll

This Hadoop and Big Data training is ideal when used in:

  • Users who are engineers or developers interested in developing abilities in big data processing.
  • Business intelligence experts and data analysts who desire to perform analysis on large volumes of data.
  • IT experts who want to move into the field of big data.
  • Graduates and students are looking forward to high-demand jobs in data engineering and analytics.

Regardless of your history, this big data Hadoop course offers a simple and organized route to the development of a strong big data skillset.

Career Opportunities After Big Data & Hadoop Training

The big data specialists are also in demand in the financial, health care, e-commerce, and technology sectors. Once you have gone through this big data Hadoop course, you can undertake positions such as:

  • Big Data Engineer
  • Hadoop Developer
  • Data Analyst
  • Data Architect
  • Business Intelligence engineer.

These positions are highly career-advancing and pay competitive wages and this is why this training on Big Data and Hadoop is a perfect investment in your career future. 

Course Structure at a Glance

The Hadoop course on big data is meant to take you through the basics to advanced applications:`

  • Introduction to Big Data: Discover the fundamentals of big data, big data challenges, and how big data is used in industry.
  • Hadoop Architecture: Learn about the HDFS, MapReduce, and the fundamental components of the Hadoop ecosystem.
  • Start with Sqoop and Flume: See how to use Sqoop and Flume to import and stream data.
  • Data Storage and Data Management: Use Hive, Pig, and HBase to query and manipulate data.
  • YARN Cluster Management: Optimally allocate resources and manage workloads.
  • Spark integration: Apache Spark: Introduction to Introducing Spark to faster and more flexible big data processing.
  • Real-World Projects: Use concepts in real-world experiences in the industry to support your learning.

This curriculum will make sure that you develop effective and practical as well as theoretical knowledge about big data and Hadoop.

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