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About Our Expert Instructors at Technomotiva

At Technomotiva, our strength lies in the expertise, passion, and real-world experience of our instructors. We take immense pride in bringing together a team of highly qualified professionals who are not just subject matter experts, but also dedicated mentors committed to nurturing the next generation of talent in the IT and corporate world.

Our instructors are industry veterans with extensive academic backgrounds and practical experience. Many hold advanced degrees in Computer Science, Engineering, Business, and specialized IT domains, along with globally recognized certifications such as:

  • Oracle Certified Professionals (OCP)
  • AWS & Azure Certified Cloud Experts
  • PMP Certified Project Managers
  • Certified Ethical Hackers (CEH)
  • Google & Meta Digital Marketing Experts
  • ISTQB Certified Testers
  • SAP, Data Science, and AI Professionals

Hands-on Industry Experience

Each instructor at Technomotiva brings 5 to 20+ years of experience in working with top-tier MNCs, startups, and government projects across diverse industries including IT Services, Telecom, Banking, Healthcare, Manufacturing, and eCommerce. Their real-world exposure helps students understand practical challenges, business requirements, and current industry trends.

Mentorship & Career Guidance

Our instructors go beyond Online teaching. They act as career mentors—helping learners with project guidance, resume preparation, interview readiness, and professional networking. They offer personalized attention and one-on-one mentoring to ensure every learner builds the confidence and skills needed to succeed.

Updated with Latest Trends

Staying ahead in the ever-evolving tech world is crucial. Our instructors continuously upgrade their knowledge through certifications, research, and attending industry events. They integrate the latest tools, frameworks, and methodologies into the curriculum—making learning relevant, future-ready, and competitive.

Global Exposure

With training and consulting experience across India, the US, UK, Middle East, and Southeast Asia, our instructors bring a global perspective. This helps students understand cross-cultural business practices, global IT standards, and international job market expectations.

At Technomotiva, we don’t just teach—we inspire, mentor, and empower. Our instructors are the pillars of our training excellence, driving transformation for both individuals and corporate teams. Whether you're a student, working professional, or enterprise, learning from our experts means stepping into a future full of potential and opportunities.

Hadoop Training Curriculum

By Technomotiva – Empower Talent, Inspire Innovation

Course Overview

This Hadoop training program is designed to help learners gain in-depth knowledge of the Hadoop ecosystem, its core components like HDFS and MapReduce, and popular tools such as Hive, Pig, Sqoop, Flume, HBase, and more. The course also focuses on real-time data processing frameworks and hands-on implementation on clusters.

  • Duration: 1.5 Months
  • Delivery: Online
  • Tools & Platforms: Hadoop, HDFS, Hive, Pig, Sqoop, Flume, HBase, Oozie, YARN, Spark (Intro), Cloudera/Hortonworks

  • What is Big Data? Characteristics (Volume, Velocity, Variety, etc.)
  • Traditional systems vs Hadoop
  • Hadoop Ecosystem Overview
  • Use Cases of Big Data in Real World
  • Understanding the need for Hadoop
  • Introduction to Hadoop Distributions (Apache, Cloudera, Hortonworks)

  • HDFS (Hadoop Distributed File System)
  • Architecture of Hadoop 1.x vs 2.x vs 3.x
  • NameNode, DataNode, Secondary NameNode
  • Read/Write operations in HDFS
  • Data replication & block size
  • Hadoop Federation and High Availability
  • Introduction to YARN (Yet Another Resource Negotiator)

  • Modes of Hadoop: Local, Pseudo-distributed, Fully Distributed
  • Hadoop Installation on Linux (single-node and multi-node cluster)
  • Hadoop Shell Commands and File System Operations
  • Configuration Files (core-site.xml, hdfs-site.xml, mapred-site.xml)

  • MapReduce Architecture
  • Mapper, Reducer, Partitioner, Combiner
  • InputSplit, RecordReader, OutputCollector
  • Writing MapReduce Programs in Java
  • Word Count Example
  • Advanced MapReduce Concepts: Counters, Joins, Distributed Cache
  • Performance Tuning and Optimization

  • Introduction to Hive and HiveQL
  • Hive Architecture and Components
  • Managed vs External Tables
  • Partitions and Bucketing
  • Joins, Views, Indexes
  • Writing Hive Scripts
  • Connecting Hive with HDFS
  • Hands-on Queries and Reporting

  • Introduction to Pig and Pig Latin
  • Pig vs Hive
  • Data Types and Schemas
  • Loading, Filtering, Grouping, Joining, Sorting
  • UDFs and Built-in Functions
  • Writing Pig Scripts for Data Transformation
  • Pig in Real-world Applications

Sqoop:

  • Introduction to Sqoop
  • Importing Data from RDBMS to HDFS
  • Exporting Data from HDFS to RDBMS
  • Sqoop Commands and Performance Tuning
  • Importing into Hive and HBase

Flume:

  • Introduction to Flume
  • Flume Architecture and Components
  • Creating Flume Agents
  • Data Flow from Logs to HDFS
  • Flume Use Cases in Real-time Ingestion

  • HBase vs RDBMS
  • HBase Architecture and Components
  • Column Families, Cells, Tables
  • CRUD Operations in HBase
  • Integration of HBase with Hive
  • Use Cases of HBase in Big Data

  • Overview of Apache Oozie
  • Oozie Workflows and Coordinators
  • Building Oozie Jobs for Hive, MapReduce
  • Scheduling and Monitoring
  • Integration with Hadoop Jobs

  • Why Spark over MapReduce
  • Spark Architecture
  • RDDs and Transformations
  • Spark SQL Basics
  • Running Spark on Hadoop YARN
  • Intro to PySpark

  • Hadoop Cluster Setup
  • Monitoring Tools (Ambari, Cloudera Manager)
  • Resource Allocation and Tuning
  • Troubleshooting and Logs

  • Implementing a complete Hadoop data pipeline using:
    • Sqoop for ingestion
    • Hive for data warehousing
    • MapReduce for processing
    • Pig for transformation
    • Flume for log collection
    • HBase for real-time access
  • Final Report & Code Review

  • Working with real-time datasets
  • Running HDFS & MapReduce jobs
  • Creating Hive Tables & performing analytics
  • Ingesting MySQL data into HDFS
  • Processing logs using Flume
  • NoSQL operations with HBase
  • Building end-to-end mini-projects

  • Module-wise quizzes
  • Assignment submissions
  • Final project presentation
  • Certificate of Completion by Technomotiva

  • Big Data Developer
  • Hadoop Engineer
  • Data Analyst (Big Data)
  • ETL/Data Ingestion Specialist
  • DataOps Engineer
  • Junior Data Scientist (with Spark add-on)

  • GitHub project repository
  • Resume building with Hadoop experience
  • Interview prep and mock technical interviews
  • Hadoop certification exam guide (CCA / HDP)

Hadoop Training – FAQ

Hadoop is a powerful open-source framework used for processing and storing large-scale data across distributed clusters. At Technomotiva, our Hadoop training is designed to equip you with practical skills in Big Data technologies, including HDFS, MapReduce, Hive, Pig, Sqoop, Flume, and HBase, with real-time hands-on experience and industry projects.

This course is ideal for:

  • Fresh graduates interested in data careers
  • Software developers seeking to transition to Big Data
  • IT professionals aiming to specialize in data engineering
  • Anyone curious about large-scale data handling and analytics

  • Basic knowledge of databases and SQL is helpful
  • Familiarity with core Java or Linux is an advantage
  • No prior Big Data experience is required

The course covers:

  • Big Data and Hadoop ecosystem fundamentals
  • HDFS and MapReduce
  • Apache Hive and Pig for querying and data transformation
  • Sqoop and Flume for data ingestion
  • Apache HBase for NoSQL storage
  • Oozie for workflow management
  • Basics of Apache Spark (optional)
  • Real-time projects and case studies

Yes! You’ll get:

  • Practice on Hadoop clusters
  • Data ingestion using Sqoop/Flume
  • Processing with MapReduce and Hive
  • Real-time datasets and mini-projects
  • Final capstone project with complete data pipeline

We train using industry-relevant tools like:

  • Apache Hadoop
  • Hive, Pig, HBase
  • Sqoop, Flume, Oozie
  • Spark (Introductory)
  • Linux, MySQL
  • Cloudera or Hortonworks Sandbox (simulated environment)

  • Duration: 1.5 Months
  • Modes: Online
  • Batches: Weekday and Weekend options available
  • Timings: Flexible morning/evening schedules

Absolutely! You’ll receive a Certificate of Completion from Technomotiva, which validates your skills and helps in your job search.

You’ll work on:

  • Data ingestion pipelines using Sqoop/Flume
  • Creating Hive data warehouse
  • MapReduce jobs on real datasets
  • Clickstream analysis project
  • A complete capstone project simulating a real business use case

This training prepares you for roles such as:

  • Hadoop Developer
  • Big Data Engineer
  • ETL Developer (Big Data Tools)
  • Data Analyst (Big Data)
  • HDFS Administrator (with extra admin training)

Yes, we provide:

  • Resume preparation with project highlights
  • Interview Q&A sessions
  • Mock interviews
  • Job referral assistance (for eligible candidates)

We offer competitive and affordable pricing.

For the latest fee structure, call us at: 📞 77081 40364

Definitely! We encourage all students to attend a free demo session to understand our training quality, faculty, and hands-on methods.

You’ll receive:

  • Digital notes and class recordings
  • Hadoop command reference sheets
  • Real datasets for practice
  • Access to sandbox environments
  • Resume and interview prep kit
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