Hadoop Projects: Analyze & Optimize Big Data

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Hadoop Projects: Analyze & Optimize Big Data

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

位教师：EDUCBA

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4个模块

深入了解一个主题并学习基础知识。

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Process and optimize large datasets using Hadoop tools.
Apply MapReduce, Pig, and Hive in real-world data projects.
Build scalable data workflows for analytics and reporting.

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您将学习的工具

要了解的详细信息

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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
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该课程共有4个模块

By the end of this course, learners will be able to analyze, transform, and optimize large-scale datasets using Hadoop’s distributed ecosystem. They will gain hands-on experience with MapReduce, Pig, and Hive across multiple real-world projects, including log processing, sales analytics, tourism survey insights, faculty data management, e-commerce performance, and salary analysis.

This course emphasizes practical implementation over theory, guiding learners step-by-step through data cleaning, schema design, query optimization, and report generation in a cloud-scale environment. Through integrated projects, learners will learn how to build, execute, and automate data workflows while ensuring reliability and scalability in HDFS. Unlike traditional Hadoop courses, this program delivers a comprehensive, project-driven learning path, helping participants bridge the gap between conceptual understanding and professional application. Ideal for data engineers, analysts, and IT professionals, this course empowers learners to confidently apply Hadoop tools in solving complex business and analytical challenges across industries.

This module introduces learners to the core principles of Hadoop-based data processing through log and sales data projects. Learners will explore how to clean, process, and analyze streaming log files using MapReduce, Pig, and Hive. The module builds essential technical foundations in distributed file handling and practical data management workflows, setting the stage for advanced Hadoop applications.

涵盖的内容

13个视频4个作业

13个视频总计105分钟

Introduction to Log Processing8分钟
Summarizing Log Files6分钟
MapReducing Programme9分钟
Execute MapReduce Program9分钟
Big Data Technology10分钟
Executing Big Data Tool10分钟
Writing Map Reduce Program7分钟
Array List Searching7分钟
Processing Files In Map Reduce6分钟
Conclusion7分钟
Introduction to Sales Data Analysis Using Hadoop- HDFS10分钟
Working with Problem Statement 18分钟
Working with Problem Statement 28分钟

4个作业总计60分钟

Understanding Log Data Processing in Hadoop10分钟
Exploring Big Data Tools and File Operations10分钟
Beginning Sales Data Analysis Using Hadoop10分钟
Building the Foundation – Log & Sales Data Projects30分钟

This module advances learners’ analytical and problem-solving skills through real-world sales and tourism survey projects. By leveraging Hadoop’s distributed ecosystem, learners will gain hands-on experience using MapReduce, Hive, and Pig to aggregate, join, and filter multi-source datasets for business intelligence and demographic insights.

涵盖的内容

10个视频4个作业

10个视频总计77分钟

Working with Problem Statement 39分钟
Working with Problem Statement 47分钟
Working with Problem Statement 56分钟
Introduction to Tourism Survey Analysis Using HDFS10分钟
Average of Money Spend By Tourist in our Country7分钟
Join Country and Nationality8分钟
Total no. of Tourist Less than 187分钟
Change the Country Name Column6分钟
Number of Males from Australia7分钟
Tourism Survey General Detail and Spending Details10分钟

4个作业总计60分钟

Solving Complex Sales Data Problems with MapReduce10分钟
Tourism Data Analytics and Insights10分钟
Advanced Filtering and Transformation in Tourism Analysis10分钟
Advancing Data Analysis – Sales & Tourism Projects30分钟

This module focuses on educational and faculty data management projects using Hadoop’s distributed storage and processing tools. Learners will master schema design, data transformation, and optimization in Hive and Pig while enhancing database management efficiency through structural modifications and automation.

涵盖的内容

7个视频4个作业

7个视频总计51分钟

Introduction to Faculty Data Management Using HDFS7分钟
Education Industry6分钟
Adding New Column in Faculty Database Management8分钟
Changing Column Name and Data Type7分钟
Drop Column From Table and Add New Column9分钟
Introduction to E-Commerce Sales Analysis Using Hadoop6分钟
Customer Detail not from USA8分钟

4个作业总计80分钟

Faculty Data Management Using HDFS10分钟
Modifying Faculty Database Structures30分钟
Introduction to E-Commerce Data Analysis10分钟
Managing and Transforming Educational Data30分钟

The final module integrates real-world Hadoop use cases in e-commerce and employee salary analytics. Learners will apply distributed querying, filtering, and aggregation techniques to gain actionable insights from diverse data sources. The module emphasizes end-to-end analysis and reporting within Hadoop’s scalable architecture.

涵盖的内容

10个视频4个作业

10个视频总计71分钟

Customer Detail Account Created After 20099分钟
Customer Details whose Sales are Less than 3600$7分钟
Details of Customer Name Anushka6分钟
Part time Employee using Salary Analysis7分钟
Details of Administrative Assistance6分钟
Data Sets in Ascending Order7分钟
Job Title for Each Department8分钟
Changing Name to Employee Name7分钟
Total number of Employee in Hourly Basis7分钟
Annual Salary Taken By Finance Department8分钟

4个作业总计60分钟

Exploring Customer Insights in E-Commerce Data10分钟
Salary Analysis and Employee Data Operations10分钟
Advanced Salary Analytics and Department Insights10分钟
Real-World Business Analytics – E-Commerce & Salary Projects30分钟

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位教师

EDUCBA

1,057 门课程263,732 名学生

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EDUCBA

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