Hadoop Developer Training Online

About our Hadoop Developer online course

Our Hadoop Developer online course is a comprehensive program designed for beginners, individuals looking to upskill, and those seeking a career switch into the field of big data. Hadoop Developer revolves around storing and processing big data in a distributed computing environment. With the increasing reliance on big data in the USA market, this course will provide you with the relevant skills and experience to excel in this growing field. Upon completion, you will be equipped to design robust data processing systems using Hadoop.

Hadoop Developer Course key highlights

• Instructor-led and live online classes
• Hands-on labs and case studies
• Capstone project for real-world experience
• Placement support and resume/interview preparation

Overview of our Hadoop Developer online Training

Our Hadoop Developer online training is delivered through a combination of weekday and weekend live sessions, supplemented with access to our Learning Management System (LMS). Participants will have the opportunity to engage in a simulated lab environment and work with real-world datasets to enhance their understanding and application of Hadoop.

Tools & Systems Used

• Hadoop Common
• Hadoop Distributed File System (HDFS)
• Hadoop YARN
• Hadoop MapReduce
• Apache Pig and Hive
• Apache HBase

Objectives of our Hadoop Developer online training course

• Understand the basics of Hadoop and its ecosystem.
• Learn how to write MapReduce programs.
• Master data management with HBase.
• Perform data analytics using Pig and Hive.
• Understand data ingestion using Sqoop and Flume.
• Design and develop Big Data applications.

What you will learn in our Hadoop Developer classes

• Introduction to Hadoop and Big Data
• Implementing MapReduce and YARN
• Data management with HBase
• Data analytics with Pig and Hive
• Understanding Sqoop and Flume
• Designing Big Data applications

Course syllabus

• Module 1: Introduction to Hadoop and Big Data
  • Overview of Big Data
  • Introduction to Hadoop
  • Understanding Hadoop Ecosystem
• Module 2: Implementing MapReduce and YARN
  • Understanding MapReduce
  • Implementing YARN
  • Writing MapReduce Programs
• Module 3: Data Management with HBase
  • Introduction to HBase
  • Understanding HBase Architecture
  • Data Manipulation in HBase
• Module 4: Data Analytics with Pig and Hive
  • Introduction to Pig
  • Introduction to Hive
  • Performing Data Analytics
• Module 5: Understanding Sqoop and Flume
  • Introduction to Sqoop and Flume
  • Data Ingestion with Sqoop and Flume
  • Real-world use cases of Sqoop and Flume