Processing Big Data with Hadoop Training

Live Online & Classroom Enterprise Training

Processing Big Data with Hadoop focuses on handling and analyzing large datasets using the Hadoop ecosystem. It covers distributed storage (HDFS), data processing with MapReduce, and scalable data management techniques.

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What is Processing Big Data with Hadoop Training about?

This course provides a comprehensive introduction to Big Data processing using Hadoop, one of the most popular open-source frameworks for distributed data storage and computation. Participants will learn the fundamentals of Hadoop architecture, the Hadoop Distributed File System (HDFS), and MapReduce programming. The training also covers key ecosystem components like Hive, Pig, and YARN, enabling learners to efficiently handle large-scale data processing tasks. By the end, learners will be equipped with practical skills to process and analyze data in distributed environments.

What are the objectives of Processing Big Data with Hadoop Training ?

Understand Hadoop architecture, HDFS, and YARN resource management.
Perform large-scale data storage and retrieval in HDFS.
Develop MapReduce programs for distributed data processing.
Utilize Hive and Pig for big data querying and analysis.
Apply Hadoop ecosystem tools for real-world big data solutions.

Who is Processing Big Data with Hadoop Training for?

Data engineers and developers working with large datasets.
IT professionals transitioning into big data roles.
Business analysts aiming to expand into big data analytics.
Students and graduates in computer science, data science, or related fields.
Professionals preparing for Hadoop-based certifications.

What are the prerequisites for Processing Big Data with Hadoop Training?

Prerequisites:

Basic knowledge of programming (Java/Python preferred).
Understanding of databases and SQL.
Familiarity with Linux/Unix command-line environment.
Knowledge of fundamental data concepts.
Interest in working with large-scale distributed systems.

Learning Path:

Introduction to Big Data and Hadoop ecosystem.
Hadoop Distributed File System (HDFS) fundamentals.
MapReduce programming and execution.
Data querying with Hive and Pig.
Advanced Hadoop ecosystem tools (HBase, Sqoop, Flume).

Related Courses:

Big Data Hadoop with Spark Developer
Big Data Analytics Using Spark
Data Warehousing and BI Analytics
Apache Spark and Scala

Available Training Modes

Live Online Training

5 Days

Course Outline Expand All

Expand All

Module 1- Getting Started with HDInsight

Big data, Hadoop, and HDInsight

Working with HDInsight

Hands on Lab

Module 2- Processing Big Data with Hive

Working with Hive Tables

Developing Hive applications

Module 3- Going Beyond Hive with Pig and Python

Processing Data with Pig

Extending Pig and Hive with UFFs

Module 4- Building a Big Data Workflow

Implementing workflows with Oozie

Transferring data with Sqoop

Module 5- Course Exam

Course wrap up

Who is the instructor for this training?

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

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