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Hadoop Projects: Analyze Big Data with Hive & Pig

Hadoop Projects: Analyze Big Data with Hive & Pig

Instructor: EDUCBA

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Gain insight into a topic and learn the fundamentals.
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Implement HDFS, Hive, Pig, and MapReduce for data projects.

  • Process real datasets to extract business insights.

  • Integrate Hadoop workflows with Sqoop and SQL databases.

Details to know

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Assessments

20 assignments

Taught in English

Build your subject-matter expertise

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.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

By the end of this course, learners will be able to design, implement, and analyze real-world Big Data projects using Hadoop’s core components — HDFS, Hive, Pig, and MapReduce. They will apply data processing techniques to customer complaints, health surveys, traffic violations, and loan datasets to extract valuable business insights.

This hands-on, project-based course guides learners through every stage of Big Data analysis — from importing and transforming data to executing distributed computations and exporting results to relational databases. Learners will master essential Hadoop workflows such as writing MapReduce programs, developing Hive queries, integrating Pig scripts, and using Sqoop for seamless SQL data transfer. What makes this course unique is its real-world project orientation that combines four complete Hadoop case studies into one comprehensive learning experience. Each module provides step-by-step implementation practice to build confidence and technical proficiency. Upon completion, learners will be equipped to manage large datasets, optimize performance, and apply Hadoop-based solutions in enterprise environments.

What's included

7 videos4 assignments

7 videos•Total 53 minutes
  • Introduction to Customer Complaint Project in Big Data•12 minutes
  • Complaint Filed Under Each File•10 minutes
  • Creating Driver Files and Jar Manifest•10 minutes
  • Creating Driver Files and Jar Manifest Continues•2 minutes
  • Complaint Filed from Particular Location•6 minutes
  • User Defined Location•8 minutes
  • List of Complaint Grouped By Location•6 minutes
4 assignments•Total 60 minutes
  • Getting Started with Hadoop Projects•30 minutes
  • Exploring Customer Complaint Analysis•10 minutes
  • Building and Running Hive-Based Programs•10 minutes
  • Location-Based Complaint Insights•10 minutes

What's included

7 videos4 assignments

7 videos•Total 58 minutes
  • Introduction to Health Analysis•11 minutes
  • Show Rows Data From Health Data Table•8 minutes
  • Adding New Data in Health Data Table•8 minutes
  • Get Data From HDFS Database from SQL Database•6 minutes
  • Getting Data in New HDFS Directory from SQL•8 minutes
  • Export Data Table From HDFS to SQL•10 minutes
  • Get Details of City Population in Health Dataset•7 minutes
4 assignments•Total 51 minutes
  • Managing Health Survey Data using HDFS•30 minutes
  • Introduction to Health Data Management•10 minutes
  • Handling Data in HDFS•10 minutes
  • Exporting and Analyzing Health Information•1 minute

What's included

9 videos4 assignments

9 videos•Total 77 minutes
  • Introduction to Traffic Violation Analysis•9 minutes
  • Introduction to Traffic Violation Analysis Continues•7 minutes
  • Get Table From SQL to HDFS Directory•5 minutes
  • Output of Table From SQL to HDFS Directory•8 minutes
  • List Databases and Tables of SQl in HDFS•10 minutes
  • Create and Execute jobs in Traffic Violation•10 minutes
  • Import Data for Personal Injuries from SQL•9 minutes
  • Get Data For State Maryland•9 minutes
  • Extract Data of Traffic Violation from HDFS to My SQL•10 minutes
4 assignments•Total 60 minutes
  • Traffic Violation Data Analysis•30 minutes
  • Setting Up Traffic Violation Project•10 minutes
  • Data Transfer between SQL and HDFS•10 minutes
  • Executing Jobs and Extracting Results•10 minutes

What's included

10 videos4 assignments

10 videos•Total 74 minutes
  • Introduction to Analyze the Loan Data Set•7 minutes
  • Introduction to Analyze the Loan Data Set Continues•8 minutes
  • Overall Average Risk•8 minutes
  • Coding Average Risk•8 minutes
  • Coding Average Risk Continues•7 minutes
  • More on Average Risk•8 minutes
  • Average Risk Per Location•7 minutes
  • Average Risk per Loan Type•10 minutes
  • Calculate Average Risk Per Category•6 minutes
  • Calculate Average Risk Per category Continues•5 minutes
4 assignments•Total 60 minutes
  • Loan Dataset Analysis using Pig and MapReduce•30 minutes
  • Understanding and Preparing Loan Data•10 minutes
  • Coding and Computing Average Risk•10 minutes
  • Analyzing Risk by Loan Type and Location•10 minutes

What's included

9 videos4 assignments

9 videos•Total 68 minutes
  • Comparable Interface in MapReduce•10 minutes
  • Implementation and Execution MapReduce•7 minutes
  • Average Risk Per Category in PIG•8 minutes
  • Average Risk Per Category and Location in PIG•8 minutes
  • Average Risk Per Category and Location in PIG Continues•6 minutes
  • Average Risk Per Category in Hive•7 minutes
  • Analysis Bank Loan Dataset in HIVE•7 minutes
  • Analysis Bank Loan Dataset in HIVE Continues•6 minutes
  • Understand of Sqoop and Get RDBMS Data in HDFS•11 minutes
4 assignments•Total 60 minutes
  • Advanced Hadoop Integrations and Analysis•30 minutes
  • Implementing Custom MapReduce Logic•10 minutes
  • Advanced Analysis with Pig and Hive•10 minutes
  • Integrating Sqoop and RDBMS with Hadoop•10 minutes

Earn a career certificate

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Instructor

EDUCBA
1,591 Courses•326,930 learners

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