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Big Data with Hadoop: Apply MapReduce, Pig & Hive

本课程是 Hadoop Big Data Analytics & Projects Mastery 专项课程的一部分

位教师：EDUCBA

包含在中

了解更多

3个模块

深入了解一个主题并学习基础知识。

8 小时完成

灵活的计划

自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

8 小时完成

灵活的计划

自行安排学习进度

您将学到什么

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.

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

10 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Hadoop Big Data Analytics & Projects Mastery 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有3个模块

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.

单元详情

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.

涵盖的内容

17个视频4个作业

17个视频总计129分钟

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

4个作业总计60分钟

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

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.

涵盖的内容

12个视频3个作业

12个视频总计103分钟

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

3个作业总计50分钟

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

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.