Apache Hadoop Training

Live Online & Classroom Enterprise Training

Teaches distributed data processing with Hadoop and structured querying using Hive. Ideal for handling large-scale data analytics and ETL workloads.

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What is Apache Hadoop Training about?

Apache Hadoop is a cornerstone of the big data ecosystem, enabling organizations to store and process massive datasets across distributed clusters. This course introduces learners to the Hadoop framework, covering its architecture, core components (HDFS, YARN, and MapReduce), and ecosystem tools like Hive, Pig, and HBase. Through practical labs and real-world use cases, participants will learn how to build scalable data solutions using Hadoop.

What are the objectives of Apache Hadoop Training ?

Understand the architecture and core components of the Hadoop ecosystem.
Work with Hadoop Distributed File System (HDFS) for distributed storage.
Implement MapReduce for parallel data processing.
Use Hive, Pig, and HBase for data querying and management.
Integrate Hadoop with modern data platforms and workflows.

Who is Apache Hadoop Training for?

Data Engineers and Big Data Developers.
Software Engineers working with large datasets.
Data Analysts exploring distributed data systems.
IT Professionals seeking to specialize in big data.
Students and graduates preparing for careers in big data analytics.

What are the prerequisites for Apache Hadoop Training?

Prerequisites:

Basic programming knowledge (Java, Python, or Scala preferred).
Understanding of SQL and relational databases.
Familiarity with Linux/Unix command-line basics.
Knowledge of distributed computing concepts (preferred).
Interest in big data technologies.

Learning Path:

Introduction to Big Data and Hadoop Ecosystem
Hadoop Architecture and HDFS Fundamentals
Working with MapReduce for Data Processing
Hive, Pig, and HBase for Data Management
Integrating Hadoop with Spark and Cloud Platforms

Related Courses:

Spark Fundamentals
Processing Big Data with Hadoop
Data Warehousing and BI Analytics
Machine Learning with Spark MLlib

Available Training Modes

Live Online Training

3 Days

Course Outline Expand All

Expand All

Module 1- Introduction to Hadoop

Intro to Big data

What is ETL

Intro to Hadoop

Distributed Computing

Hadoop Architecture

How do we Store a File in HDFS

Intro To Oozie and HDFS Processing

Hadoop Cluster Hands on

Hadoop Ecosystem

Map Reduce

Map Reduce Example

Map Reduce Practice Example

Map Reduce Programmatic Comparison with Java

Map Reduce Hands on - Word Count

Map Reduce Word Count Code

Yarn

Who is the instructor for this training?

The trainer for this Apache Hadoop Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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