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
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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
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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.
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 videos•Total 129 minutes
- Introduction to Sensor Data Analysis•7 minutes
- Introduction to Sensor Data Analysis Continues•10 minutes
- Example of Sensor Data Analysis•11 minutes
- Understanding Basic of Big Data and MapReduce•8 minutes
- More on Big Data and MapReduce•11 minutes
- Converting Json File into Simple Text Format•8 minutes
- Converting Json File into Simple Text Format Continues•7 minutes
- Output for Json File format•4 minutes
- Ratio of Male and Female in MapReduce•6 minutes
- Output of Ratio of Male and Female•7 minutes
- Generate Old Aged Woman Count•7 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 assignments•Total 60 minutes
- Graded - Foundations of Sensor Data & MapReduce•30 minutes
- Introduction to Sensor Data•10 minutes
- Big Data and JSON Processing•10 minutes
- MapReduce Use Cases•10 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 videos•Total 103 minutes
- Difference Between Pig MapReduce and Hive•10 minutes
- More on Pig, MapReduce and Hive•7 minutes
- Sensor Data Processing in Pig•11 minutes
- Working With Pig Function•8 minutes
- Types of Function in Pig•8 minutes
- Example of Pig Function•8 minutes
- Working on Use Cases Using Functions in PIG•9 minutes
- Use Case Data Flow in Pig•7 minutes
- Ratio Data Flow in Pig•8 minutes
- More on Use Case in Pig•9 minutes
- More on Use Case in Pig Continues•9 minutes
- Example od Ratio Education in Pig•9 minutes
3 assignments•Total 50 minutes
- Graded - Sensor Data Processing with Pig•30 minutes
- Pig Concepts and Functions•10 minutes
- Use Cases and Data Flow in Pig•10 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.
What's included
7 videos3 assignments
7 videos•Total 65 minutes
- Approach Process the Json File in Hive•11 minutes
- Features and Query in Hive•11 minutes
- Work on Json Use Cases Using Hive•7 minutes
- Work on Json Use Cases Using Hive Continues•6 minutes
- Output of Json Usecases Using Hive•11 minutes
- More on Json Usecses in Hive•10 minutes
- Summary of Sensor Data Processing•9 minutes
3 assignments•Total 50 minutes
- Graded - Advanced Analysis with Hive•30 minutes
- Hive Queries and Features•10 minutes
- JSON Use Cases and Course Summary in Hive•10 minutes
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