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Big Data with Hadoop: Apply MapReduce, Pig & Hive

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Big Data with Hadoop: Apply MapReduce, Pig & Hive

This course is part of Hadoop Big Data Analytics & Projects Mastery Specialization

Instructor: EDUCBA

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

8 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

8 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Process and analyze sensor data using Pig, Hive, and MapReduce.
Preprocess JSON files and design end-to-end data workflows.
Generate insights from demographic and income-based datasets.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

10 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Hadoop Big Data Analytics & Projects Mastery Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

By the end of this course, learners will be able to analyze real-world sensor datasets, preprocess JSON files, apply Hadoop MapReduce operations, implement data flows with Apache Pig, and execute SQL-like queries using Apache Hive. They will also interpret insights on demographics, income, and social indicators to support evidence-based decision-making.

This hands-on project-based course equips learners with the essential Big Data skills required to process and analyze large-scale sensor data. Unlike theoretical introductions, it focuses on live project scenarios where learners design workflows, troubleshoot errors, and generate meaningful outcomes. Through case studies such as gender ratios, income tax predictions, and child labor analysis, learners understand how analytics can directly inform strategic and policy decisions. What makes this course unique is its integrated approach—learners gain practical exposure to MapReduce, Pig, and Hive in a single structured project. This ensures that participants not only master the technical tools but also develop the ability to transform raw data into actionable insights that drive real-world impact.

Module details

This module introduces the foundations of sensor data analysis and the principles of Big Data processing. Learners explore how raw data is collected, structured, and converted into usable formats, followed by an introduction to Hadoop MapReduce. The module covers real-world use cases including demographic analysis, income tax prediction, and child labor detection, helping learners understand how analytics can drive social and economic insights.

What's included

17 videos4 assignments

17 videosTotal 129 minutes

Introduction to Sensor Data Analysis7 minutes
Introduction to Sensor Data Analysis Continues10 minutes
Example of Sensor Data Analysis11 minutes
Understanding Basic of Big Data and MapReduce8 minutes
More on Big Data and MapReduce11 minutes
Converting Json File into Simple Text Format8 minutes
Converting Json File into Simple Text Format Continues7 minutes
Output for Json File format4 minutes
Ratio of Male and Female in MapReduce6 minutes
Output of Ratio of Male and Female7 minutes
Generate Old Aged Woman Count7 minutes
Expected Income Tax in MapReduce 9 minutes
Actual Income Tax in MapReduce 5 minutes
Coming Year Income Tax In MapReduce 5 minutes
Educated Vs Non Educated Ratio in MapReduce 6 minutes
Native People Reports in MApReduce 10 minutes
Report Against the Child Labour law in MapReduce 8 minutes

4 assignmentsTotal 60 minutes

Introduction to Sensor Data10 minutes
Big Data and JSON Processing10 minutes
MapReduce Use Cases10 minutes
Graded - Foundations of Sensor Data & MapReduce30 minutes

This module focuses on Apache Pig, a high-level data flow language used for simplifying Big Data processing. Learners gain practical skills in Pig functions, relations, and data flow management while reducing the complexity of coding compared to MapReduce. Through hands-on use cases, students practice grouping, filtering, and aggregating sensor data to uncover patterns and generate meaningful ratios for analysis.

What's included

12 videos3 assignments

12 videosTotal 103 minutes

Difference Between Pig MapReduce and Hive10 minutes
More on Pig, MapReduce and Hive7 minutes
Sensor Data Processing in Pig11 minutes
Working With Pig Function8 minutes
Types of Function in Pig8 minutes
Example of Pig Function8 minutes
Working on Use Cases Using Functions in PIG9 minutes
Use Case Data Flow in Pig7 minutes
Ratio Data Flow in Pig8 minutes
More on Use Case in Pig9 minutes
More on Use Case in Pig Continues9 minutes
Example od Ratio Education in Pig9 minutes

3 assignmentsTotal 50 minutes

Pig Concepts and Functions10 minutes
Use Cases and Data Flow in Pig10 minutes
Graded - Sensor Data Processing with Pig30 minutes

This module explores Apache Hive, a data warehouse tool that enables SQL-like querying of large datasets. Learners examine Hive’s key features, its ability to query JSON data, and how it empowers non-programmers to analyze massive datasets efficiently. By completing Hive-based use cases, learners discover how to transform raw data into meaningful reports that support government and business decision-making.