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Big Data with Hadoop: Apply MapReduce, Pig & Hive

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Big Data with Hadoop: Apply MapReduce, Pig & Hive

Dieser Kurs ist Teil von Spezialisierung „Hadoop Big Data Analytics & Projects Mastery“

Dozent: EDUCBA

Bei enthalten

Mehr erfahren

3 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

8 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

3 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

8 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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.

Kompetenzen, die Sie erwerben

Kategorie: Data-Driven Decision-Making
Kategorie: Dataflow
Kategorie: Data Processing
Kategorie: Data Pipelines
Kategorie: Data Analysis
Kategorie: People Analytics
Kategorie: Data Preprocessing
Kategorie: Big Data
Kategorie: Data Transformation
Kategorie: Analytics
Kategorie: Debugging

Werkzeuge, die Sie lernen werden

Kategorie: Query Languages
Kategorie: Apache Hadoop
Kategorie: JSON
Kategorie: Apache Hive

Wichtige Details

Zertifikat zur Vorlage

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Bewertungen

10 Aufgaben

Unterrichtet in Englisch

91% of learners achieved a positive career outcome

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Dieser Kurs ist Teil der Spezialisierung Spezialisierung „Hadoop Big Data Analytics & Projects Mastery“

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Erwerben Sie berufsrelevante Kompetenzen durch praktische Projekte
Erwerben Sie ein Berufszertifikat zur Vorlage

In diesem Kurs gibt es 3 Module

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.

Moduldetails

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.

Das ist alles enthalten

17 Videos4 Aufgaben

17 VideosInsgesamt 129 Minuten

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

4 AufgabenInsgesamt 60 Minuten

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

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.

Das ist alles enthalten

12 Videos3 Aufgaben

12 VideosInsgesamt 103 Minuten

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

3 AufgabenInsgesamt 50 Minuten

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

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.