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.
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 
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
Details to know
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Recently updated!
November 2025
Assessments
10 assignments
Taught in English
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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.
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There are 3 modules in this course
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
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
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.
What's included
7 videos3 assignments
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