Hadoop for Developers Training in Ontario

Hadoop for Developers Training in Ontario, Canada

The course focuses on writing and optimizing MapReduce programs, understanding Hadoop’s data flow, and integrating with other ecosystem tools such as Hive, Pig, and HBase

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Hadoop for Developers Training is a professional training program delivered by ProgNXT in Ontario, Canada. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Hadoop for Developers Training course with hands-on, instructor-led sessions. This hands-on training is designed for software developers and data engineers who want to build scalable data processing applications using...

Expert Panel

Designed and delivered by the ProgNXT Big Data Expert Panel — a vetted team of industry professionals with 14+ years of hands-on experience in Hadoop, Apache Spark, Kafka, and distributed data processing

ProgNXT Big Data Expert Panel

Course Code: REQ20
21 Hrs
Last Updated: April 2026

Course Rating5/5

This hands-on training is designed for software developers and data engineers who want to build scalable data processing applications using Apache Hadoop. The course focuses on writing and optimizing MapReduce programs, understanding Hadoop’s data flow, and integrating with other ecosystem tools such as Hive, Pig, and HBase. It prepares developers to work on batch-processing pipelines and contribute effectively to big data projects.

Welcome to the official Hadoop for Developers Training certification program in Ontario, Canada. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Programming experience in Java (basic to intermediate level)
Familiarity with Linux/Unix command line
Basic understanding of SQL
No prior Hadoop experience required

By the end of this training, participants will:

Understand Hadoop’s architecture and development model
Write functional MapReduce programs for batch data processing
Use high-level tools (Hive, Pig) for data analytics
Handle various data formats and optimize job workflows
Be able to build data pipelines for real-world datasets

Writing, running, and debugging MapReduce programs
Understanding HDFS read/write operations
Using Hive and Pig for data querying and transformation
Integrating custom code with Hadoop ecosystem tools
Optimizing job performance and data schema design
Processing structured, semi-structured, and unstructured data at scale

Development of working MapReduce applications
Effective data ingestion and schema handling
Querying large datasets using Hive or Pig
Code structure, performance tuning, and error handling
Lab exercises and mini-project quality

ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

INTRODUCTION TO HADOOP AND MAPREDUCE PROGRAMMING

Overview of Hadoop architecture: HDFS, YARN, and MapReduce

Data flow in HDFS and MapReduce execution stages

Writing your first MapReduce program in Java

InputFormat, OutputFormat, Mapper, Reducer, Combiner logic

Working with TextInputFormat, KeyValueInputFormat, custom formats

Running MapReduce jobs via CLI and programmatic submission

ADVANCED MAPREDUCE AND ECOSYSTEM INTEGRATION

Chaining jobs and managing intermediate data

Using DistributedCache and counters

Optimizing MapReduce jobs for performance and resource usage

Introduction to Pig: syntax, data types, UDFs, execution model

Using Pig for ETL-style transformations

Introduction to Hive: tables, partitions, queries, schema on read

Writing HiveQL queries for large-scale data analysis

DATA INGESTION, FORMATS, AND REAL-WORLD PIPELINES

Working with structured and unstructured data

Using Avro, Parquet, and SequenceFile formats

Ingesting external data: Sqoop basics for RDBMS to Hadoop

Using Hadoop Streaming for non-Java developers (Python, Bash)

Debugging and testing Hadoop applications

Best practices in Hadoop development and job design

Hands-on Exercises

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants will be evaluated based on:
Daily quizzes, mock questions and query resolution. Participation in hands-on exercises and labs. Performance in the final review and hands-on exercises will be evaluated.
ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Hadoop for Developers Training Events in ontario

Online Events

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More Upcoming Session Dates

October 2026

📍 Ontario, Canada

10th Oct 2026→12th Oct 2026

🌐 Online Instructor-Led

11th Oct 2026→13th Oct 2026

📍 Ontario, Canada

22nd Oct 2026→24th Oct 2026

🌐 Online Instructor-Led

22nd Oct 2026→24th Oct 2026

November 2026

📍 Ontario, Canada

7th Nov 2026→9th Nov 2026

🌐 Online Instructor-Led

8th Nov 2026→10th Nov 2026

📍 Ontario, Canada

23rd Nov 2026→25th Nov 2026

🌐 Online Instructor-Led

27th Nov 2026→29th Nov 2026

December 2026

📍 Ontario, Canada

4th Dec 2026→6th Dec 2026

🌐 Online Instructor-Led

5th Dec 2026→7th Dec 2026

📍 Ontario, Canada

28th Dec 2026→30th Dec 2026

🌐 Online Instructor-Led

28th Dec 2026→30th Dec 2026

Events for other courses in Ontario, Canada

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Hadoop for Developers Training in Ontario