Big Data with Hadoop: Apply MapReduce, Pig & Hive

Overview

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.

Syllabus

Foundations of Sensor Data & MapReduce

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.

Sensor Data Processing with Pig

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.

Advanced Analysis with Hive

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.